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DOI: 10.1055/s-0042-1742519
Transforming Health Data to Actionable Information: Recent Progress and Future Opportunities in Health Information Exchange
- 1 Introduction
- 2 Objectives
- 3 Methods
- 4 Findings and Analysis
- 5 Recommendations
- 6 Limitations
- 7 Conclusion
- References
Summary
Objectives: Provide a systematic review of literature pertaining to health information exchange (HIE) since 2018. Summarize HIE-associated literature for most frequently occurring topics, as well as within the context of the COVID-19 pandemic and health equity. Finally, provide recommendations for how HIE can advance the vision of a digital healthcare ecosystem.
Methods: A computer program was developed to mediate a literature search of primary literature indexed in MEDLINE that was: (1) indexed with “Health Information Exchange” MeSH descriptor as a major topic; and (2) published between January 2018 and December 2021. Frequency of MeSH descriptors was then used to identify and to rank topics associated with the retrieved literature. COVID-19 literature was identified using the general COVID-19 PubMed Clinical Query filter. Health equity literature was identified using additional MeSH descriptor-based searches. The retrieved literature was then reviewed and summarized.
Results: A total of 256 articles were retrieved and reviewed for this survey. The major thematic areas summarized were: (1) Information Dissemination; (2) Delivery of Health Care; (3) Hospitals; (4) Hospital Emergency Service; (5) COVID-19; (6) Health Disparities; and (7) Computer Security and Confidentiality. A common theme across all areas examined for this survey was the maturity of HIE to support data-driven healthcare delivery. Recommendations were developed based on opportunities identified across the reviewed literature.
Conclusions: HIE is an essential advance in next generation healthcare delivery. The review of the recent literature (2018-2021) indicates that successful HIE improves healthcare delivery, often resulting in improved health outcomes. There remain major opportunities for expanded use of HIE, including the active engagement of clinical and patient stakeholders. The maturity of HIE reflects the maturity of the biomedical informatics and health data science fields.
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Keywords
Health information exchange - health information interoperability - helivery of health care - randomized controlled trial - COVID-19 - health disparities1 Introduction
Fundamental to effective healthcare delivery is the transmission and availability of data to support information needs of clinicians, patients, and payers. For clinicians, reliable access to accurate and comprehensive health information is foundational to clinical decision making. For patients, health information is the basis for engagement in health care. For payers, health information forms the basis for supporting reimbursement models and ensuring care coordination. Collectively, health information is needed to support efficient, effective, and high-quality healthcare delivery across the entirety of the healthcare ecosystem. Systematic approaches to support the generation, transmission, and receiving of health information are a major motivation for the use of commonly templated medical charts [[1], [2]]. Structured electronic medical charts, or “Electronic Health Records” (EHRs), enable health data access across “islands” of healthcare delivery [[1]]. This promise has increasingly led to the deployment and availability of EHRs globally, through a range of national programs across the Organisation for Economic Co-operation and Development nations as well as global health initiatives for lower and middle income countries [[3] [4] [5]]. The increased availability of EHRs presents the opportunity to leverage digital technologies and communications infrastructure for ensuring the highest quality of care by enabling access to needed information to “the right person at the right time.” An enabling feature of this tenet is an EHR’s ability to share information – and thus be “interoperable” – with other electronic health systems. In health information technology vernacular, this ability is commonly referred to as “Health Information Exchange” (HIE).
As a concept, HIE is either a verb (the act of health information transmission) or a noun (an entity that supports the transmission of health information, oftentimes referred to as a “Regional Health Information Organization” or a “Health Information Organization”). HIE is the basis for health and healthcare data interoperability, canonically organized into four levels [[6], [7]]: (1) Foundational – the technical connection between health data sharing partners; (2) Structural – the defined format and syntax for transmission of health data; (3) Semantic – the representation of the transmitted health data into interpretable and meaningful structures for either human or machine use; and (4) Organizational – the sociolegal and policy frameworks to enable the use of the transmitted health data for use in treatment, payment, or operational decision making. Most of the prior reviews have outlined the major facets of HIE generally as well as their application in different contexts, focusing largely on aspects at these four levels.
HIE has increasingly become a major topic reported in biomedical literature, following a similar trend as for EHRs. The increased availability and usage of EHRs has increased the potential for HIE as well as establishment of government or industry endorsed health information organizations that advance the vision to enable the availability of crucial health information data wherever and whenever needed. The Medical Subject Heading (MeSH) descriptor “Health Information Exchange” was created in 2015 with the scope of being an “Organizational framework for the dissemination of electronic healthcare information or clinical data, across health-related institutions and systems. Its overall purpose is to enhance patient care” [[8]]. Of the 26 systematic reviews indexed in MEDLINE with HIE as a major topic to date [[9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34]] (retrieved using the search “health information exchange”[majr] AND systematic[sab]), some used “Health Information Exchange” as a search term; however, none explicitly used the MeSH descriptor in their search strategy, as determined from a structured search query ((“Health Information Exchange”[majr] or “Health Information Exchange”[mh]) NOT Editorial[pt] NOT Letter[pt]).
This review of the HIE literature presents the results from the first direct analysis of biomedical literature indexed in MEDLINE with the HIE MeSH descriptor. The search strategy did not have any inclusion/exclusion criteria pertaining to country of focus; however, most articles reviewed for this survey focused on HIE in the United States of America. In addition to presenting a summary of the top five topics discussed in the literature since 2018, a summary is provided on HIE studies done within the context of COVID-19 and the 2022 IMIA Yearbook theme (“Inclusive Digital Health: Addressing Equity, Literacy, and Bias for Resilient Health Systems”).
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2 Objectives
The main objectives of this survey are to:
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Provide a systematic survey of HIE-relevant literature published since 2018;
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Identify and summarize the top five categories of HIE studies done since 2018;
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Summarize HIE studies done of relevance to COVID-19 to date;
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Summarize HIE studies done of relevance to the 2022 IMIA Yearbook thematic area; and,
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Provide recommendations on how HIE can advance the vision of an integrated digital healthcare ecosystem.
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3 Methods
A computer program written in Julia (v1.7) [[35]] was developed and used to search MEDLINE using the Entrez programming utilities. The searches were restricted to those articles written in English (using the English[language] tag) that were published between January 1, 2018 and December 1, 2021. The search strategy explicitly excluded reviews, editorials, and letters. The LitCGeneral PubMed Clinical Query filter was used to identify COVID-19-related articles. The primary search used the following query: (((“health information exchange”[mh]) AND English[language] NOT Editorial[pt] NOT Letter[pt]) NOT LitCGeneral[filter] NOT (Systematic[sb] OR Review[pt]) AND (2018/01/01:2021/12/01[pdat])). The MeSH descriptors were tabulated for the articles retrieved from the primary search, excluding the following MeSH descriptors: Humans; Female; Male; Adult; Middle Aged; United States; Young Adult; Aged, 80 and Over; Adolescent; Medical Informatics; Japan; Aged; Health Information Exchange; Internet; Surveys and Questionnaires; Qualitative Research; Interviews as a Topic; Retrospective Studies; Cross-Sectional Studies; Medical Record Systems; Computerized; Reproducibility of Results; and Child. The top five occurring MeSH descriptors were used to retrieve (using the [mh:noexp] PubMed search tag) articles by combining them individually with the primary search. The COVID-19 specific search was done by toggling the LitCGeneral PubMed Clinical Query filter: (((“health information exchange”[majr]) AND English[language] NOT Editorial[pt] NOT Letter[pt]) AND LitCGeneral[filter] NOT (Systematic[sb] OR Review[pt]) AND (2018/01/01:2021/12/01[pdat])). The following query was used to identify relevant articles that included concepts pertaining to health knowledge and health disparities: (((“health information exchange”[majr]) AND English[language] NOT Editorial[pt] NOT Letter[pt]) NOT LitCGeneral[filter] NOT (Systematic[sb] OR Review[pt]) AND (2018/01/01:2021/12/01[pdat])) AND (“Health Knowledge, Attitudes, Practice”[mh] or health disparities[sb]). The articles for each of the top five HIE categories were manually reviewed and summarized, as well as for COVID-19 and health disparities. The source code for the computer program used for mediating the searches and MEDLINE record retrieval is available on GitHub (https://github.com/INSARKAR/imiayb_hie_2022).
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4 Findings and Analysis
The primary search yielded 235 articles indexed in MEDLINE with the “Health Information Exchange” MeSH descriptor as a major index term. Most of these articles focused on HIE within the United States of America (U.S.), which reflects differences in EHR deployment strategies globally. Specifically, in 2009 legislation was passed in the U.S. to promote and encourage the implementation of EHRs [[36]]. Subsequent legislation in 2016 aimed to further improve the flow and exchange of electronic health information across the U.S. [[37]]. Nearly all the articles reflect public policy implications either to encourage HIE or be guided by the benefits of HIE globally [[3] [4] [5]]. A total of 15 MeSH descriptors were found to occur across nine or more articles, which were used to identify the top ten MeSH descriptors for this review (shown in [Table 1]). Articles associated with the six MeSH descriptors that reflected the five most common MeSH descriptors in the retrieved article set (accounting for one tie) formed the basis of the summaries presented here. Additionally, summaries were done for HIE articles retrieved that pertained to COVID-19 (11 articles) or the 2022 IMIA Yearbook theme (10 articles). The presentation of the summaries is ordered from general to specific topical areas, followed by those topics that are cross-cutting.
4.1 Information Dissemination
At the core of HIE is the development and use of technology to support the transmission of health information for healthcare treatment, management, and coordination. The second most frequent MeSH descriptor associated with the primary search was “Information Dissemination,” which is defined as the “circulation or wide dispersal of information” [[38]]. Characteristics of HIE have been captured using national surveys, which provide consistent evidence of nationwide desires to develop national HIE networks that span clinical and political boundaries [[39], [40]]. However, in the U.S. there remain major concerns about “information blocking,” based on federal government regulations enumerating requirements for data sharing and exchange where data may not be shared due to non-care delivery reasons (e.g., business or political) [[41], [42]]. Similarly, there is a need for health information to be shared with non-clinical members of a healthcare team [[43]]. Ultimately, the effectiveness of HIE will depend on community understanding of the role of HIE and overcoming barriers to support sharing of health data for enabling effective healthcare delivery [[3], [4], [39], [44]].
HIE has been shown to improve care, through the availability of health information at critical times of need [[45], [46]]. HIE enables critical information to be disseminated, supporting smooth transitions of care from acute events, such as stroke [[47]]. Health payment reform also depends on HIEs to enable the potential impacts of bundled payment models [[48]]. Major challenges with the acceptance and use of HIEs are linked to sociotechnical issues that can be addressed [[49], [50]]. The sharing of information through HIEs enables improvement in care efficiencies that are based on effective means for disseminating relevant information to all members of a healthcare team [[51] [52] [53]]. Successful information dissemination across care sites improves the patient experience [[54]] and improves the potential to measure the quality of care and ensure patient safety [[46]]. HIEs support information dissemination for providers and payers, effectively serving as the underpinning healthcare data highway needed to facilitate the vision of a continuously improving healthcare system.
While not strictly clinical HIE, consumer HIE is an important aspect to support patients or their caregivers being informed members of the healthcare team. Consumer-facing resources are increasingly noted as an important complement to clinical data to inform healthcare delivery decisions [[55]]. This might include sharing of medically relevant videos [[56], [57]], and may require clear guidelines to define the veracity of information being shared [[56]]. The sharing of information about complex health conditions, such as schizophrenia, may be done through social media (e.g., Twitter [[58]]). The development of HIE-integrated consumer-facing tools has been shown to improve nationwide HIE initiatives that may have stalled due to lack of community interest in HIE (e.g., in France [[59]]). Such engagement is essential to address patient concerns about HIE (largely pertaining to potential security or confidentiality issues) and explicitly demonstrate the clinical benefits [[60], [61]]. The use of contemporary privacy preserving protocols (e.g., blockchain [[62]]) may therefore be essential for ubiquitous acceptance of HIEs in their use for ongoing monitoring applications.
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4.2 Delivery of Health Care
Amidst the global interest in digital health and HIE, there remain notable challenges in leveraging HIE to support healthcare delivery. The fourth most occurring MeSH descriptor in the retrieved article set was “Delivery of Health Care,” which is defined as “The concept concerned with all aspects of providing and distributing health services to a patient population” [[63]]. With respect to HIE, it is essential to understand the barriers and enablers for clinician use of HIE systems [[64]]. Challenges can be linked to how healthcare systems are configured and how respective policy frameworks structure sharing of health information [[65]]. An underpinning key to the success of HIE is the availability of interoperable-ready EHRs. EHR adoption may be increased with country-specific incentives [[66]] or by linking with population-level payment models that are focused on care of individuals (“bundled payment”) [[48]]. Similarly, effective HIE is built around a common set of standards, such that they can be enforced across care environments using common vendor systems [[67]]. Alternatively, contemporary technologies like blockchain can support performant HIE across healthcare systems when implementation considers the architecture of the data being exchanged [[68]].
For health data made available by HIE to be rendered useful, the data must be clinically useful and interpretable. Effective HIE is positioned to support nurses, administrators, and researchers by providing otherwise challenging to locate clinical data that can impact clinical decisions, understanding of costs, or guide research inquiries [[69]]. HIE can also support availability of more complete information, such as medications [[70]]. Clinical decisions can also benefit from the availability of social care information as a component of HIE [[71]]. HIE enables the development of early detection systems, which can be highly impactful for conditions such as depression [[72]]. Enabling population analyses can be done through the use of graph-based query languages in combination with the growing adoption of the Fast Healthcare Interoperability Resources (FHIR) standard [[73]]. Timeliness in clinical interpretation of complex data available in HIE can be supported through improved visualizations, which can be impactful in emergency settings [[74]].
Patient engagement remains a major challenge in supporting effective delivery of care [[75]]. In contrast to concerns often reflected by providers or developers, patients themselves have limited concerns about HIE [[76]]. HIEs can support common patient tasks, such as appointment scheduling [[77]], which has been shown to drive HIE adoption more generally [[59], [78]]. Improvements in clinical data entry interfaces improve patient access to their health data, and thus improve overall patient engagement [[79], [80]]. The studies included in this survey demonstrate how HIE enables a healthcare ecosystem that fosters meaningful connections between patients and their healthcare team.
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4.3 Hospitals
Historically, providers (including hospitals, health systems, and their clinicians) have been a major potential beneficiary of HIE services [[65]]. The most frequent MeSH descriptor in the primary article set was “Hospitals,” which are defined as “Institutions with an organized medical staff which provide medical care to patients” [[81]]. There have been limited studies to date that have directly aimed to assess the impact on hospitals. Recent studies provide an important insight to how HIE provides many benefits to hospitals, including improvement in hospital efficiency [[82]], as well as overall positive impacts on healthcare outcomes [[40], [45], [51], [83] [84] [85]]. Of note, these benefits were shown regardless of which paradigm of HIE is used (i.e., query-based versus direct-access HIE) [[52]]. Query-based HIE is a federated approach of healthcare data sharing partners that agree to provide health data for a given patient as needed. Direct-access HIE is a centralized approach where healthcare data sharing partners provide health data as they are available into a commonly accessible system. Query-based HIE provides immediate access to timely health information and requires less centralized infrastructure. By contrast, direct-access HIE enables the development of longitudinal histories for patients. Hospitals that engaged in HIE were shown to have reduced rates of re-admission [[67]], reduction in information loss during care transitions from outpatient [[86]] or specialty (e.g., psychiatric [[87]]) settings to acute care hospitals. Ultimately, these studies demonstrate how increased availability and use of HIE in hospital settings have had a markedly positive impact on improving healthcare delivery.
Hospital types can range from specialty focused to general acute care centers to community hospitals, often necessitating the transition of patients across hospital settings. HIE has been shown to be a catalyst to encourage patients to be shared across multiple clinical sites; however, sharing of patient populations may lead to concerns of potential clinical competition between hospitals [[54], [88]]. Functional HIE enables access to critical decision-driving data, such as laboratory findings and test results [[89]]. Acknowledging the breadth of hospital types and clinical catchment area demographics, studies have shown that the type of hospital can impact the quality of HIE [[53], [90]]. Specifically, hospitals that have the resources to invest in health information technology to support HIE are more efficient than those that do not. One study examined the potential of a game-theoretic approach (aiming to achieve Nash equilibrium) to predict the potential benefits of HIE in a range of hospital types [[91]]. Through this approach, it was found that hospitals with fewer resources may be less inclined to participate in HIE, due to market pressures regardless of any financial incentives. Thus, while successful implementation of HIE may improve healthcare delivery across multiple care sites, it is imperative to consider the financial implications for hospitals that may be consequential to increased market competition.
Alongside enabling their use in healthcare delivery, HIE can unleash the analytic potential of electronic health data for biomedical research, epidemiological, or surveillance uses. To support the use of electronic health data for advanced analytical modeling, such as for studies in critical care medicine [[92]], requires adherence to policy and legal requirements. Exchange of comprehensive health data sets can enable population-level patient monitoring, disease surveillance, or adverse event detection [[93] [94] [95]]. HIE data can also be used to examine the potential impact of alternative payment models, which accommodate care across multiple care sites [[48], [96]].
Health data are only actionable if they consist of the right data that are made available in appropriate clinical workflows in the right format and at the right time [[97]]. Successful HIE is predicated on the use of healthcare team members who motivate both the use and improvement of electronic health data to support clinical decision making. HIE improvements and implementation can be driven by general practitioners to improve care transitions between ambulatory and hospital settings [[98]]. Nurses and primary care providers can furthermore motivate the use and adoption of HIEs across care settings [[99], [100]]. The perceived benefits of HIE systems will depend on usability studies, which take into account planned actions relative to clinical decision making [[101]].
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4.4 Hospital Emergency Service
Commonly referred to as the “Emergency Department” (ED), this hospital department is a major beneficiary of, and health data generator for, HIEs. The fifth most common MeSH descriptor associated with the retrieved article set was “Emergency Service, Hospital,” which is defined as “Hospital department responsible for the administration and provision of immediate medical or surgical care to the emergency patient” [[102]]. There are strong desires to connect HIEs into ED EHR systems and clinical workflows. However, there are challenges globally with this integration in a way that can be clinically actionable, largely due to limited consideration of ED workflows [[44], [74], [99]].
HIEs provide a comprehensive view to the use of healthcare services. With respect to ED utilization, HIEs can be a major source for studying utilization [[103]], causes for return visits [[104]], and the impact of social determinants of health on ED visits [[105]]. HIE-based interventions can be used to also identify causes for repeat-ED visits and provide approaches for their reduction [[106], [107]]. Clinical trials can also be constructed to examine the value of HIEs across population-specific (e.g., veteran versus civilian hospitals) care settings [[108]]. The holistic view provided by HIEs for patients in ED settings poses opportunities to enable the study of disorders that involve multiple clinical sites (e.g., as associated with substance use [[109]]).
The value of HIEs in hospital emergency service contexts is dependent on the availability of necessary health data. There are some notable missing data types (e.g., imaging [[110]]) that can be critical for decision making. However, success has been demonstrated with exchange of poison information [[111]], as well as medication information [[112]]. The exchange of information between EDs and other care settings (e.g., nursing homes) can also have a major impact on better coordination of care [[113]].
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4.5 COVID-19
The emergence and spread of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) resulted in the COVID-19 pandemic, which has challenged healthcare systems globally since the beginning of 2020. Ten articles were retrieved using the LitCGeneral PubMed Clinical Query with HIE as a major MeSH descriptor. The COVID-19 pandemic served as a focal point for several discussions around the relevance and need for digital health strategies [[114], [115]]. Predictive modeling approaches have shown merit in the use of HIE-based data to enable prediction of healthcare resource utilization [[116]]. HIE has been leveraged to support population-level analyses, including those that may be correlated with sociodemographic, behavioral, or clinical data [[117]]. Harnessing HIE data for research studies also has underscored the importance of ensuring privacy of health data while meeting short-term information needs for research and healthcare delivery [[118]].
The COVID-19 pandemic has exposed numerous challenges in the healthcare infrastructure, including those pertaining to HIE. The lack of robust and uniform HIE has resulted in the need to develop ad hoc solutions to meet public health data needs [[119], [120]]. Where there was no robust HIE system for supporting public health updates globally, social media has been leveraged as a mechanism to share real-time public health updates [[121]]. Some of the challenges are rooted in challenges with EHR interfaces, which necessitated reversion to paper records and devising systems for digital conversion of handwriting and markings [[122]]. Finally, the lack of digital HIE systems between nursing homes and acute care facilities required the development of new digital approaches for electronic document exchange [[123]]. Collectively, there is an increased acknowledgement of the need for digital approaches for HIE that will be an essential component of next generation public health infrastructures that will be informed by these studies.
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4.6 Health Disparities
The overall health of populations is predicated on equal access to healthcare delivery and overall community literacy about health concepts. HIE provides the opportunity for unbiased exchange of health data and knowledge to support population health. For this survey, ten articles were retrieved pertaining to health literacy and equity within the context of HIE. A core tenet of impactful health care is engagement of patients. Patient engagement through online systems, such as patient portals, has been shown to improve overall healthcare outcomes [[124], [125]]. It is important to also understand information needs of patients or their caregivers, who may rely on general consumer search engines (e.g., Google [[126]]). Health literacy is an essential facet of patient engagement, which can take the form of either an online forum [[127]] or public health knowledge campaigns [[128]]. In addition to digital systems, the use of community members has been shown as an effective peer-to-peer approach to improve health literacy [[129]]. In the context of patient engagement, HIE is more focused on the dissemination of knowledge in culturally congruent ways.
The use of HIE for exchange of clinical data among healthcare providers and public health agencies has been shown to improve overall population health [[130]]. HIE-based analysis of population trends (e.g., ED utilization) has been shown to be more accurate than using administrative data [[109]]. However, engagement in HIE can be challenged by differences in perception of the benefit across racial groups [[131]] or technical barriers found in rural settings [[132]]. The promise of HIE as a tangible benefit for populations will only be realized when these major challenges are addressed. The challenges faced in the implementation and use of HIE across populations are reflective of the challenges faced by biomedical informatics and health data science more generally.
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4.7 Computer Security & Confidentiality
As with all health information technology, HIE requires clear principles to ensure security in the transmission of protected health information between trusted parties. Tied for the third most common MeSH descriptor in the retrieved article set for this survey were “Computer Security” and “Confidentiality”. “Computer Security” is defined as “Protective measures against unauthorized access to or interference with computer operating systems, telecommunications, or accompanying data; especially the modification, deletion, destruction, or release of data in computers. It includes methods of forestalling interference by computer viruses or computer hackers aiming to compromise stored data” [[133]]. “Confidentiality” is defined as “The privacy of information and its protection against unauthorized disclosure” [[134]]. The underpinning principle in HIE is that data are shared securely, which serves as a foundation for supporting the development of interoperable systems that serve communities [[135] [136] [137] [138]]. Attention to security in HIE is especially important in sensitive clinical contexts, such as sharing information associated with organ donors [[139]] or supporting monitoring of conditions like diabetes mellitus [[140]]. Secure data sharing must account for public concerns for privacy [[76], [141], [142]], preservation of anonymity [[143]], and be trusted by the patient community [[125]]. In the U.S., the 21stCentury Cures Act explicitly addresses these concerns through the use of contemporary HIE technologies, namely FHIR and SMART-on-FHIR [[144]]. The transmission of protected health information (PHI) through HIE requires confidence that confidentiality will be ensured. There is a need for patient understanding of their control of PHI [[145]], which accounts for the balancing of public concerns about privacy, security, and confidentiality, while still providing the benefits of HIE in healthcare delivery [[141], [146], [147]]. Oftentimes, these concerns must consider political boundaries or legal issues [[148], [149]]
HIE within and between healthcare delivery sites can occur in multiple ways. There is a need to acknowledge the respective benefits of multiple approaches to HIE, which together can provide the most robust and secure approach to support healthcare delivery [[150]]. HIE can support secure messaging protocols, which require consideration of secure and reliable transmission of PHI [[151]]. Medical images also have very specific security requirements that must be considered when transmitted [[93], [152]]. A variety of approaches have been examined for supporting secure exchange of medical record data across systems, including cryptographic approaches [[153]], use of secure keys [[154], [155]], multi-factorial authentication [[156]], and use of blockchain techniques [[62], [68], [157] [158] [159] [160]].
Challenges in ensuring confidentiality can be especially difficult when considering large volumes of complex data, such as medical images [[152]], as well as clinical or research contexts [[92], [139], [161]]. The consideration of confidentiality in HIE requires the consideration of racial or ethnic biases [[162], [163]], which also necessitates the need to be culturally sensitive [[131]].
HIEs can leverage a range of technical approaches to ensure confidentiality. These approaches can include the use of authentication keys [[154], [155]], cryptography, and privacy preserving algorithms [[137], [153]]. Contemporary techniques, such as blockchain, also show promise in supporting confidentiality without impacting usability of PHI across HIE [[157], [159]]. Simpler techniques, like three-factor authentication, have also shown promise [[156]]. The choice of technique or algorithm used to ensure confidentiality across HIE requires consideration of efficiency [[143]]. The choice of approach needs to be made known to the public to allay concerns about potential privacy breaches with HIE. Gaining public trust is essential for the adoption and ultimate success of HIE [[142]].
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5 Recommendations
The complexity of healthcare delivery requires a reliable and robust healthcare data infrastructure, such as enabled by HIE. The landscape of digital health technologies is rapidly expanding and presents a panoply of opportunities that will usher in a new era of data-driven health care. The importance of HIE in enabling this vision cannot be understated. As the first survey of literature indexed in MEDLINE with the “Health Information Exchange” MeSH descriptor for HIE, this review presents a positive outlook for HIE and describes the challenges in the successful use of HIE to improve care. Considering the topics examined here, three recommendations are offered based on common themes that emerged. These recommendations move beyond the benefit of EHRs in isolated healthcare delivery settings to HIE ecosystems of EHR-based data. It is important to emphasize that these recommendations are not novel, but instead further underscore fundamentals about HIE that have been discussed previously [[25], [164] [165] [166] [167] [168]]. The full impact of HIE will depend on national public policies that support the availability and use of electronic health data across multiple healthcare settings [[169] [170] [171]]. HIE is not uniform across the globe and its implementation is hindered by notable barriers, such as costs and market share concerns that impact the potential for sustainability [[172], [173]]. In the U.S., the recently (2022) announced Trusted Exchange Framework and Common Agreement (TEFCA [[174]]) aims to provide a foundational step towards universal interoperability for one nation by providing a common minimum set of infrastructural and technical standards across the variety of networks associated with healthcare data interchange across the country [[39]]. The recommendations presented here also therefore form the basis for national public policies (e.g., TEFCA) to support HIE.
5.1 Recommendation 1: Get the Basics Right
HIE endeavors often aim to collect, exchange, and transport all available health and healthcare information with equal importance. This can be challenging from a technical perspective and may result in limited benefit to stakeholders [[169], [175], [176]]. The need for trustworthy and secure technology and standards for HIE are well documented and provide a foundation for enabling robust sharing of health information [[175], [177] [178] [179] [180] [181]]. Policies should support the expansion of organizations that enable HIE to be considered a component of public infrastructure, much like electricity or water delivery, to support healthcare delivery. Prioritization of data and formats should thus adhere to meet use cases that have clinical or public health impact [[3], [4], [39], [44], [182], [183]]. National standards for interoperability should be prioritized by government designated entities. In the U.S., TEFCA identifies the United States Core Data for Interoperability (USCDI) as a standardized set of health data classes and constituent data elements for nationwide, interoperable HIE updated and maintained through the Interoperability Standard Advisory process from the Office of the National Coordinator for Health Information Technology [[39]]. In cases where national standards do not exist, stakeholder groups should generate accepted sets of data types to meet specific clinical or public health use cases. The choice of standards should first be driven by clinical needs (e.g., the problem list, allergies, medications, and immunizations) and patient specific aspects (e.g., social determinants of health). Policies should be explicit about the core data types and acceptable standards that form the core of HIE. This core needs not replicate the full content of an EHR, but should include those data that are essential during the transitions of care across healthcare delivery sites and home.
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5.2 Recommendation 2: Focus on Complementing, not Competing
Digital health technologies continue to emerge and fulfill many clinical and public health needs. HIE endeavors should be seen as a major partner in these endeavors, supporting their use and adoption [[172], [182], [184]]. HIE activities should provide clear demonstration of value to patients, healthcare providers, governments, and public health agencies [[64], [182], [185]]. There are many gaps in health data that need to be addressed. Partnerships between HIE initiatives will be crucial for addressing these gaps in meaningful and sustainable ways [[48], [66], [69]]. Healthcare delivery depends on reliable, robust, and trustworthy infrastructure, which is predicated on successful HIE working in concert with healthcare teams [[66], [67], [70]]. National policies should be developed that expand beyond large or medium sized healthcare delivery systems and provide clear incentives for smaller clinical sites that also provide safeguards from loss of clinical market share.
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5.3 Recommendation 3: Respect Patients and Providers
Health care is comprised of a menagerie of stakeholders that have a range of often conflicting needs. Effective HIE is where patient and provider needs are met effortlessly [[21], [169], [170], [186]]. Attention needs to be given to how health data are delivered, and not be redundant or overwhelming. Acknowledging clinical workflow is paramount to identify what data are presented and how [[79], [80], [187], [188]]. Supporting patients and their caregivers with tools that enable their engagement and membership in healthcare teams can be catalyzed through HIE [[75], [109], [124], [125]]. HIE alone is not a panacea for health care, but its adoption by patients and providers is essential for effective clinical decision making [[76], [77], [130], [186], [189] [190] [191]]. Research, often on a local basis, is needed to understand stakeholder needs and identify what types of data are needed as part of HIE. National policies should include clear benchmarks for success that include patient (e.g., satisfaction) and provider (e.g., reduction of burnout) metrics alongside overall healthcare improvement outcomes.
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6 Limitations
As the first systematic survey using the MeSH descriptor for HIE, there are some limitations of note. The use of MeSH descriptors enabled the design of a systematic approach that could be encoded into a computer program for supporting reproducibility; however, this did limit the potential to identify additional relevant articles that may have been identified through a hand search. It is important to also acknowledge that the indexing of biomedical literature with a given MeSH descriptor does not necessarily include the full universe of relevant articles that may have been found through a scoping review. Additionally, because MeSH descriptors are applied as an artifact of the MEDLINE-indexing process, MeSH descriptors may not necessarily reflect the original intention of the authors for a given article. The identification of topics for this survey were based on frequency of MeSH descriptors, not necessarily importance or quality. Future reviews may consider a citation-based approach to identify articles describing topics as a proxy for importance. The choice of frequency of co-occurring MeSH descriptors also may have limited detailed examination of known reoccurring topics of interest in HIE (e.g., technical architecture or governance [[149], [170], [192]]). Another major limitation of this review is that most articles focused on HIE in the U.S. This is likely an artifact of TEFCA and related discussions in the U.S. in recent years.
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7 Conclusion
Healthcare delivery relies on the availability of necessary data for supporting clinical and public health decision making. HIE provides the foundation for making these data available to meet information needs for the multiple stakeholders in health care. The thematic areas examined for this survey reveal the major advances in HIE as well as opportunities for future enhancements. The importance of HIE in the future of healthcare delivery can be expected to increase and serves as a guiding example for how biomedical informatics and health data science positively impact patient care. The future of health care will undeniably depend on effective HIE.
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No conflict of interest has been declared by the author(s).
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References
- 1 McDonald CJ. The barriers to electronic medical record systems and how to overcome them. J Am Med Inform Assoc 1997 May-Jun;4(3):213-21.
- 2 Weed LL. Medical records that guide and teach. N Engl J Med 1968 Mar 14;278(11):593-600.
- 3 Adler-Milstein J, Ronchi E, Cohen GR, Winn LA, Jha AK. Benchmarking health IT among OECD countries: better data for better policy. J Am Med Inform Assoc 2014 Jan-Feb;21(1):111-6.
- 4 Zelmer J, Ronchi E, Hyppönen H, Lupiáñez-Villanueva F, Codagnone C, Nøhr C, et al. International health IT benchmarking: learning from cross-country comparisons. J Am Med Inform Assoc 2017 Mar 1;24(2):371-9..
- 5 Verma N, Mamlin B, Flowers J, Acharya S, Labrique A, Cullen T. OpenMRS as a global good: Impact, opportunities, challenges, and lessons learned from fifteen years of implementation. Int J Med Inform 2021 May;149:104405.
- 6 HIMSS. Interoperability in Healthcare: HIMSS. Available from: https://www.himss.org/resources/interoperability-healthcare
- 7 Oemig F, Snelick R. Healthcare Interoperability Standards Compliance Handbook: Conformance and Testing of Healthcare Data Exchange Standards. Cham: Springer International Publishing; 2016.
- 8 NLM. MeSH Descriptor Data 2022: Health Information Exchange. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D066275
- 9 Akhlaq A, McKinstry B, Muhammad KB, Sheikh A. Barriers and facilitators to health information exchange in low- and middle-income country settings: a systematic review. Health Policy Plan 2016 Nov;31(9):1310-25.
- 10 Bloomrosen M, Berner ES. Findings from the 2017 Yearbook Section on Health Information Management. Yearb Med Inform 2017 Aug;26(1):78-83.
- 11 Bloomrosen M, Berner ES; Section Editors for the IMIA Yearbook Section on Health Information Management. Findings from 2017 on Health Information Management. Yearb Med Inform 2018 Aug;27(1):67-73.
- 12 Bloomrosen M, Berner ES; Section Editors for the IMIA Yearbook Section on Health Information Management. Findings from the 2021 Yearbook Section on Health Information Management. Yearb Med Inform 2021 Aug;30(1):84-90.
- 13 Bougioukas KI, Bouras EC, Avgerinos KI, Dardavessis T, Haidich AB. How to keep up to date with medical information using web-based resources: a systematised review and narrative synthesis. Health Info Libr J 2020 Dec;37(4):254-92.
- 14 Cheung A, van Velden FH, Lagerburg V, Minderman N. The organizational and clinical impact of integrating bedside equipment to an information system: a systematic literature review of patient data management systems (PDMS). Int J Med Inform 2015 Mar;84(3):155-65.
- 15 Eden KB, Totten AM, Kassakian SZ, Gorman PN, McDonagh MS, Devine B, et al. Barriers and facilitators to exchanging health information: a systematic review. Int J Med Inform 2016 Apr;88:44-51.
- 16 Garza M, Myneni S, Nordo A, Eisenstein EL, Hammond WE, Walden A, et al. eSource for Standardized Health Information Exchange in Clinical Research: A Systematic Review. Stud Health Technol Inform 2019;257:115-24.
- 17 Goss KD, Ioerger M, Young V, Flanders RM, Turk MA. A systematic search and technical review of online information pertaining to medical care for people with disability. Disabil Health J 2020 Apr;13(2):100877.
- 18 Howe N, Giles E, Newbury-Birch D, McColl E. Systematic review of participants’ attitudes towards data sharing: a thematic synthesis. J Health Serv Res Policy 2018 Apr;23(2):123-33.
- 19 Hurst D, Mickan S. Describing knowledge encounters in healthcare: a mixed studies systematic review and development of a classification. Implement Sci 2017 Mar 14;12(1):35.
- 20 Jayabalan M, O’Daniel T. Access control and privilege management in electronic health record: a systematic literature review. J Med Syst 2016 Dec;40(12):261.
- 21 Kash BA, Baek J, Davis E, Champagne-Langabeer T, Langabeer JR 2nd. Review of successful hospital readmission reduction strategies and the role of health information exchange. Int J Med Inform 2017 Aug;104:97-104.
- 22 Kruse CS, Marquez G, Nelson D, Palomares O. The Use of Health Information Exchange to Augment Patient Handoff in Long-Term Care: A Systematic Review. Appl Clin Inform 2018 Oct;9(4):752-71.
- 23 Leniz J, Weil A, Higginson IJ, Sleeman KE. Electronic palliative care coordination systems (EPaCCS): a systematic review. BMJ Support Palliat Care 2020 Mar;10(1):68-78.
- 24 Mayer AH, da Costa CA, Righi RDR. Electronic health records in a Blockchain: A systematic review. Health Informatics J 2020 Jun;26(2):1273-88.
- 25 Menachemi N, Rahurkar S, Harle CA, Vest JR. The benefits of health information exchange: an updated systematic review. J Am Med Inform Assoc 2018 Sep 1;25(9):1259-65.
- 26 O’Donoghue O, Vazirani AA, Brindley D, Meinert E. Design Choices and Trade-Offs in Health Care Blockchain Implementations: Systematic Review. J Med Internet Res 2019 May 10;21(5):e12426.
- 27 Ovies-Bernal DP, Agudelo-Londòno SM. Lecciones aprendidas en la implementaciòn de sistemas nacionales de informaciòn de salud interoperables: una revisiòn sistemática [Lessons learned in the implementation of interoperable National Health Information Systems: a systematic review]. Rev Panam Salud Publica 2014 May-Jun;35(5-6):415-23. Spanish.
- 28 Prihodova L, Guerin S, Tunney C, Kernohan WG. Key components of knowledge transfer and exchange in health services research: Findings from a systematic scoping review. J Adv Nurs 2019 Feb;75(2):313-26.
- 29 Rudin RS, Motala A, Goldzweig CL, Shekelle PG. Usage and effect of health information exchange: a systematic review. Ann Intern Med 2014 Dec 2;161(11):803-11.
- 30 Sadoughi F, Nasiri S, Ahmadi H. The impact of health information exchange on healthcare quality and cost-effectiveness: A systematic literature review. Comput Methods Programs Biomed 2018 Jul;161:209-32.
- 31 Sbaffi L, Rowley J. Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research. J Med Internet Res 2017 Jun 19;19(6):e218.
- 32 Shen N, Bernier T, Sequeira L, Strauss J, Silver MP, Carter-Langford A, et al. Understanding the patient privacy perspective on health information exchange: A systematic review. Int J Med Inform 2019 May;125:1-12.
- 33 Swain MJ, Kharrazi H. Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data. Int J Med Inform 2015 Dec;84(12):1048-56.
- 34 van der Meij E, Anema JR, Otten RH, Huirne JA, Schaafsma FG. The Effect of Perioperative E-Health Interventions on the Postoperative Course: A Systematic Review of Randomised and Non-Randomised Controlled Trials. PLoS One 2016 Jul 6;11(7):e0158612.
- 35 Julia Programming Language 2022 Available from: https://julialang.org
- 36 Health Information Technology for Economic and Clinical Health Act (HITECH Act) 2009. Available from: https://www.healthit.gov/sites/default/files/hitech_act_excerpt_from_arra_with_index.pdf
- 37 21st Century Cures Act 2016. Available from: https://www.congress.gov/114/plaws/publ255/PLAW-114publ255.pdf
- 38 NLM. MeSH Descriptor Data 2022: Information Dissemination. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D033181
- 39 Adler-Milstein J, Garg A, Zhao W, Patel V. A Survey Of Health Information Exchange Organizations In Advance Of A Nationwide Connectivity Framework. Health Aff (Millwood) 2021 May;40(5):736-44.
- 40 Lin SC, Everson J, Adler-Milstein J. Technology, Incentives, or Both? Factors Related to Level of Hospital Health Information Exchange. Health Serv Res 2018 Oct;53(5):3285-308.
- 41 Everson J, Patel V, Adler-Milstein J. Information blocking remains prevalent at the start of 21st Century Cures Act: results from a survey of health information exchange organizations. J Am Med Inform Assoc 2021 Mar 18;28(4):727-32.
- 42 Hess CT. The Free Exchange of Health Information: Preventing Information Blocking. Adv Skin Wound Care 2018 Aug;31(8):383-4.
- 43 Fredriksen E, Martinez S, Moe CE, Thygesen E. Communication and information exchange between primary healthcare employees and volunteers - Challenges, needs and possibilities for technology support. Health Soc Care Community 2020 Jul;28(4):1252-60.
- 44 Klapman S, Sher E, Adler-Milstein J. A snapshot of health information exchange across five nations: an investigation of frontline clinician experiences in emergency care. J Am Med Inform Assoc 2018 Jun 1;25(6):686-93. Erratum in: J Am Med Inform Assoc 2018 Sep 1;25(9):1269.
- 45 Chen M, Guo S, Tan X. Does Health Information Exchange Improve Patient Outcomes? Empirical Evidence From Florida Hospitals. Health Aff (Millwood) 2019 Feb;38(2):197-204.
- 46 D’Amore JD, McCrary LK, Denson J, Li C, Vitale CJ, Tokachichu P, et al. Clinical data sharing improves quality measurement and patient safety. J Am Med Inform Assoc 2021 Jul 14;28(7):1534-42.
- 47 Davoody N, Koch S, Krakau I, Hägglund M. Accessing and sharing health information for post-discharge stroke care through a national health information exchange platform - a case study. BMC Med Inform Decis Mak 2019 May 3;19(1):95.
- 48 Guerrazzi Young C, Feldman SS, Hernandez SR. Inter-organizational information sharing and bundled payment reimbursement: Do hospitals in the US use health information exchange to collaborate? Int J Med Inform 2021 Jan;145:104298.
- 49 Thew S, Leeming G, Ainsworth J. Addressing the Socio-Technical Challenges of Health Information Exchange Adoption: DataWell in Greater Manchester. Stud Health Technol Inform 2018;247:790-4.
- 50 Watkinson F, Dharmayat KI, Mastellos N. A mixed-method service evaluation of health information exchange in England: technology acceptance and barriers and facilitators to adoption. BMC Health Serv Res 2021 Jul 25;21(1):737.
- 51 Goodstein RS. Practitioner Application: How Does Electronic Health Information Exchange Affect Hospital Performance Efficiency? The Effects of Breadth and Depth of Information Sharing. J Healthc Manag 2018 May-Jun;63(3):228-9.
- 52 Vest JR, Unruh MA, Shapiro JS, Casalino LP. The associations between query-based and directed health information exchange with potentially avoidable use of health care services. Health Serv Res 2019 Oct;54(5):981-93.
- 53 Cho NE, Ke W, Atems B, Chang J. How Does Electronic Health Information Exchange Affect Hospital Performance Efficiency? The Effects of Breadth and Depth of Information Sharing. J Healthc Manag 2018 May-Jun;63(3):212-28.
- 54 Everson J, Adler-Milstein J. Sharing information electronically with other hospitals is associated with increased sharing of patients. Health Serv Res. 2020 Feb;55(1):128-35.
- 55 Gan D, Shen J, Xu M. Adaptive Learning Emotion Identification Method of Short Texts for Online Medical Knowledge Sharing Community. Comput Intell Neurosci 2019 Jun 25;2019:1604392.
- 56 Hamdan AA, Shaqman M, Abu Karaky A, Hassona Y, Bouchard P. Medical reliability of a video-sharing website: The gingival recession model. Eur J Dent Educ 2019 May;23(2):175-83.
- 57 Thapa P, Thapa A, Khadka N, Bhattarai R, Jha S, Khanal A, et al. YouTube lens to attention deficit hyperactivity disorder: a social media analysis. BMC Res Notes 2018 Dec 4;11(1):854.
- 58 Hernandez MY, Hernandez M, Lopez DH, Gamez D, Lopez SR. What do health providers and patients tweet about schizophrenia? Early Interv Psychiatry 2020 Oct;14(5):613-8.
- 59 Séroussi B, Bouaud J. The (Re)-Relaunching of the DMP, the French Shared Medical Record: New Features to Improve Uptake and Use. Stud Health Technol Inform 2018;247:256-60.
- 60 Esmaeilzadeh P. Patients’ Perceptions of Different Information Exchange Mechanisms: An Exploratory Study in the United States. Methods Inf Med 2020 Aug;59(4-05):162-78.
- 61 Esmaeilzadeh P, Mirzaei T, Dharanikota S. The impact of data entry structures on perceptions of individuals with chronic mental disorders and physical diseases towards health information sharing. Int J Med Inform 2020 Sep;141:104157.
- 62 Zhuang Y, Sheets L, Shae Z, Tsai JJP, Shyu CR. Applying Blockchain Technology for Health Information Exchange and Persistent Monitoring for Clinical Trials. AMIA Annu Symp Proc 2018 Dec 5;2018:1167-75.
- 63 NLM. MeSH Descriptor Data 2022: Delivery of Health Care. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D003695
- 64 Addis S, Holland-Hart D, Edwards A, Neal RD, Wood F. Implementing Prudent Healthcare in the NHS in Wales; what are the barriers and enablers for clinicians? J Eval Clin Pract 2019 Feb;25(1):104-10.
- 65 Guerrazzi C. An International Perspective on Health Information Exchange: Adoption in OECD Countries With Different Health Care System Configurations. Med Care Res Rev 2020 Aug;77(4):299-311.
- 66 De Pietro C, Francetic I. E-health in Switzerland: The laborious adoption of the federal law on electronic health records (EHR) and health information exchange (HIE) networks. Health Policy 2018 Feb;122(2):69-74.
- 67 Vest JR, Unruh MA, Freedman S, Simon K. Health systems’ use of enterprise health information exchange vs single electronic health record vendor environments and unplanned readmissions. J Am Med Inform Assoc 2019 Oct 1;26(10):989-98.
- 68 Zhuang Y, Chen YW, Shae ZY, Shyu CR. Generalizable Layered Blockchain Architecture for Health Care Applications: Development, Case Studies, and Evaluation. J Med Internet Res 2020 Jul 27;22(7):e19029.
- 69 Nahm ES, Schoenbaum A, Behm C, Rowen L. Health Information Exchange: Practical Overview and Implications for Nursing Practice. J Nurs Adm 2020 Nov;50(11):584-9.
- 70 Pellegrin K, Chan F, Pagoria N, Jolson-Oakes S, Uyeno R, Levin A. A Statewide Medication Management System: Health Information Exchange to Support Drug Therapy Optimization by Pharmacists across the Continuum of Care. Appl Clin Inform 2018 Jan;9(1):1-10.
- 71 Oyeyemi AO, Scott P. Interoperability in Health and Social Care: Organizational Issues are the Biggest Challenge. J Innov Health Inform 2018 Oct 31;25(3):196-8.
- 72 Kasthurirathne SN, Biondich PG, Grannis SJ, Purkayastha S, Vest JR, Jones JF. Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach. J Med Internet Res 2019 Jul 22;21(7):e13809.
- 73 Mukhiya SK, Lamo Y. An HL7 FHIR and GraphQL approach for interoperability between heterogeneous Electronic Health Record systems. Health Informatics J 2021 Jul-Sep;27(3):14604582211043920.
- 74 Thayer JG, Ferro DF, Miller JM, Karavite D, Grundmeier RW, Utidjian L, et al. Human-centered development of an electronic health record-embedded, interactive information visualization in the emergency department using fast healthcare interoperability resources. J Am Med Inform Assoc 2021 Jul 14;28(7):1401-10.
- 75 Rucker DW. Implementing the Cures Act - Bringing Consumer Computing to Health Care. N Engl J Med 2020 May 7;382(19):1779-81.
- 76 Lee K, Lim K, Jung SY, Ji H, Hong K, Hwang H, et al. Perspectives of Patients, Health Care Professionals, and Developers Toward Blockchain-Based Health Information Exchange: Qualitative Study. J Med Internet Res 2020 Nov 13;22(11):e18582.
- 77 Kyburz P, Gfeller S, Bürkle T, Denecke K. Exchanging Appointment Data Among Healthcare Institutions. Stud Health Technol Inform 2019;260:33-40.
- 78 Kiourtis A, Mavrogiorgou A, Menesidou SA, Gouvas P, Kyriazis D. A Secure Protocol for Managing and Sharing Personal Healthcare Data. Stud Health Technol Inform 2020 Nov 23;275:92-6.
- 79 Esmaeilzadeh P, Mirzaei T, Maddah M. The effects of data entry structure on patients’ perceptions of information quality in Health Information Exchange (HIE). Int J Med Inform 2020 Mar;135:104058.
- 80 Xiao D, Song C, Nakamura N, Nakayama M. Development of an application concerning fast healthcare interoperability resources based on standardized structured medical information exchange version 2 data. Comput Methods Programs Biomed 2021 Sep;208:106232.
- 81 NLM. MeSH Descriptor Data 2022: Hospitals. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D006761
- 82 Walker DM. Does participation in health information exchange improve hospital efficiency? Health Care Manag Sci 2018 Sep;21(3):426-38.
- 83 Lin SC, Hollingsworth JM, Adler-Milstein J. Alternative payment models and hospital engagement in health information exchange. Am J Manag Care 2019 Jan 1;25(1):e1-e6.
- 84 Pylypchuk Y, Barker W, Encinosa W, Searcy T. Impact of the 2015 Health Information Technology Certification Edition on Interoperability among Hospitals. J Am Med Inform Assoc 2021 Aug 13;28(9):1866-73.
- 85 Taura N, Matsumoto T, Honda M. The Evaluation of the Medical Information Exchange on 24-Hour Operation at North Kyushu Area in Japan. Stud Health Technol Inform 2019 Aug 21;264:1789-90.
- 86 Chandrasekaran R, Sankaranarayanan B, Pendergrass J. Unfulfilled promises of health information exchange: What inhibits ambulatory clinics from electronically sharing health information? Int J Med Inform 2021 May;149:104418.
- 87 Shields MC, Ritter G, Busch AB. Electronic Health Information Exchange At Discharge From Inpatient Psychiatric Care In Acute Care Hospitals. Health Aff (Millwood) 2020 Jun;39(6):958-67.
- 88 Everson J, Adler-Milstein J. Gaps in health information exchange between hospitals that treat many shared patients. J Am Med Inform Assoc 2018 Sep 1;25(9):1114-21.
- 89 Raymond L, Maillet Ë, Trudel MC, Marsan J, de Guinea AO, Paré G. Advancing laboratory medicine in hospitals through health information exchange: a survey of specialist physicians in Canada. BMC Med Inform Decis Mak 2020 Feb 28;20(1):44.
- 90 Cho NE, Hong K, Chang J. Do Market Characteristics Matter? Factors Associated with Health Information Exchange. Int J Environ Res Public Health 2021 Nov 15;18(22):11976.
- 91 Martinez DA, Feijoo F, Zayas-Castro JL, Levin S, Das TK. A strategic gaming model for health information exchange markets. Health Care Manag Sci 2018 Mar;21(1):119-30.
- 92 Thoral PJ, Peppink JM, Driessen RH, Sijbrands EJG, Kompanje EJO, Kaplan L, et al; Amsterdam University Medical Centers Database (AmsterdamUMCdb) Collaborators and the SCCM/ESICM Joint Data Science Task Force. Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example. Crit Care Med 2021 Jun 1;49(6):e563-e577.
- 93 Lakshmi Dhevi B, Vishvaksenan KS, Senthamil Selvan K, Rajalakshmi A. Patient Monitoring System Using Cognitive Internet of Things. J Med Syst 2018 Oct 11;42(11):229.
- 94 Poirot E, Mills CW, Fair AD, Graham KA, Martinez E, Schreibstein L, et al. Evaluation of a health information exchange system for microcephaly case-finding - New York City, 2013-2015. PLoS One 2020 Aug 17;15(8):e0237392.
- 95 Braund R, Lawrence CK, Baum L, Kessler B, Vassart M, Coulter C. Quality of electronic records documenting adverse drug reactions within a hospital setting: identification of discrepancies and information completeness. N Z Med J 2019 Jan 18;132(1488):28-37.
- 96 Guerrazzi C, Feldman SS. Health information exchange: What matters at the organizational level? J Biomed Inform 2020 Feb;102:103375.
- 97 Osheroff JA. Healthcare Information and Management Systems Society. Improving outcomes with clinical decision support : an implementer’s guide. 2nd ed. Chicago, IL: HIMSS; 2012.
- 98 Centemero NS, Rechel B. Barriers and facilitators to a health information exchange system between general practitioners and hospitals: a qualitative study in Southern Switzerland. Swiss Med Wkly 2021 Oct 14;151:w30063.
- 99 Rahurkar S, Vest JR, Finnell JT, Dixon BE. Trends in user-initiated health information exchange in the inpatient, outpatient, and emergency settings. J Am Med Inform Assoc 2021 Mar 1;28(3):622-7.
- 100 Sarzynski E, Ensberg M, Parkinson A, Fitzpatrick L, Houdeshell L, Given C, et al. Eliciting nurses’ perspectives to improve health information exchange between hospital and home health care. Geriatr Nurs 2019 May-Jun;40(3):277-83.
- 101 Woodward M, De Pennington N, Grandidge C, McCulloch P, Morgan L. Development and evaluation of an electronic hospital referral system: a human factors approach. Ergonomics 2020;63(6):710-23.
- 102 NLM. MeSH Descriptor Data 2022: Emergency Service, Hospital. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D004636
- 103 Han X, Lowry TY, Loo GT, Rabin EJ, Grinspan ZM, Kern LM, et al. Expanding Health Information Exchange Improves Identification of Frequent Emergency Department Users. Ann Emerg Med 2019 Feb;73(2):172-9.
- 104 Shy BD, Loo GT, Lowry T, Kim EY, Hwang U, Richardson LD, et al. Bouncing Back Elsewhere: Multilevel Analysis of Return Visits to the Same or a Different Hospital After Initial Emergency Department Presentation. Ann Emerg Med 2018 May;71(5):555-63.e1.
- 105 Vest JR, Ben-Assuli O. Prediction of emergency department revisits using area-level social determinants of health measures and health information exchange information. Int J Med Inform 2019 Sep;129:205-10.
- 106 Bell TM, Gilyan D, Moore BA, Martin J, Ogbemudia B, McLaughlin BE, et al. Long-term evaluation of a hospital-based violence intervention program using a regional health information exchange. J Trauma Acute Care Surg. 2018 Jan;84(1):175-82.
- 107 Ben-Assuli O, Vest JR. Data mining techniques utilizing latent class models to evaluate emergency department revisits. J Biomed Inform 2020 Jan;101:103341.
- 108 Dixon BE, Schwartzkopf AL, Guerrero VM, May J, Koufacos NS, Bean AM, et al. Regional data exchange to improve care for veterans after non-VA hospitalization: a randomized controlled trial. BMC Med Inform Decis Mak 2019 Jul 4;19(1):125.
- 109 Gryczynski J, Nordeck CD, Martin RD, Welsh C, Schwartz RP, Mitchell SG, et al. Leveraging health information exchange for clinical research: Extreme underreporting of hospital service utilization among patients with substance use disorders. Drug Alcohol Depend 2020 Jul 1;212:107992.
- 110 Rosenkrantz AB, Smith SW, Recht MP, Horwitz LI. Perceptions of Radiologists and Emergency Medicine Providers Regarding the Quality, Value, and Challenges of Outside Image Sharing in the Emergency Department Setting. AJR Am J Roentgenol 2020 Apr;214(4):843-52.
- 111 Cummins MR, Del Fiol G, Crouch BI, Ranade-Kharkar P, Khalifa A, Iskander A, et al. Enabling health information exchange at a US Poison Control Center. J Am Med Inform Assoc 2020 Jul 1;27(7):1000-6.
- 112 Schoenbaum AE, Seckman C. Impact of a Prescription Drug Monitoring Program on Health Information Exchange Utilization, Prescribing Behaviors, and Care Coordination in an Emergency Department. Comput Inform Nurs 2019 Dec;37(12):647-54.
- 113 Vest JR, Unruh MA, Hilts KE, Sanner L, Jones J, Khokhar S, et al. End user information needs for a SMART on FHIR-based automated transfer form to support the care of nursing home patients during emergency department visits. AMIA Annu Symp Proc 2021 Jan 25;2020:1239-48.
- 114 Koch S, Hersh WR, Bellazzi R, Leong TY, Yedaly M, Al-Shorbaji N. Digital Health during COVID-19: Informatics Dialogue with the World Health Organization. Yearb Med Inform 2021 Aug;30(1):13-6.
- 115 Walker DM, Yeager VA, Lawrence J, McAlearney AS. Identifying Opportunities to Strengthen the Public Health Informatics Infrastructure: Exploring Hospitals’ Challenges with Data Exchange. Milbank Q 2021 Jun;99(2):393-425.
- 116 Kasturi SN, Park J, Wild D, Khan B, Haggstrom DA, Grannis S. Predicting COVID-19-Related Health Care Resource Utilization Across a Statewide Patient Population: Model Development Study. J Med Internet Res 2021 Nov 15;23(11):e31337.
- 117 Tortolero GA, Brown MR, Sharma SV, de Oliveira Otto MC, Yamal JM, Aguilar D, et al. Leveraging a health information exchange for analyses of COVID-19 outcomes including an example application using smoking history and mortality. PLoS One 2021 Jun 3;16(6):e0247235.
- 118 Lenert L, McSwain BY. Balancing health privacy, health information exchange, and research in the context of the COVID-19 pandemic. J Am Med Inform Assoc 2020 Jun 1;27(6):963-6.
- 119 O’Reilly-Shah VN, Gentry KR, Van Cleve W, Kendale SM, Jabaley CS, Long DR. The COVID-19 Pandemic Highlights Shortcomings in US Health Care Informatics Infrastructure: A Call to Action. Anesth Analg 2020 Aug;131(2):340-4.
- 120 Newman N, Gilman S, Burdumy M, Yimen M, Lattouf O. A novel tool for patient data management in the ICU-Ensuring timely and accurate vital data exchange among ICU team members. Int J Med Inform 2020 Dec;144:104291.
- 121 Murri R, Segala FV, Del Vecchio P, Cingolani A, Taddei E, Micheli G, et al; COVID II Columbus Group. Social media as a tool for scientific updating at the time of COVID pandemic: Results from a national survey in Italy. PLoS One 2020 Sep 3;15(9):e0238414.
- 122 White-Dzuro CG, Schultz JD, Ye C, Coco JR, Myers JM, Shackelford C, et al. Extracting Medical Information from Paper COVID-19 Assessment Forms. Appl Clin Inform 2021 Jan;12(1):170-8.
- 123 Wong SP, Jacobson HN, Massengill J, White HK, Yanamadala M. Safe Interorganizational Health Information Exchange During the COVID-19 Pandemic. J Am Med Dir Assoc 2020 Dec;21(12):1808-10.
- 124 Elkefi S, Yu Z, Asan O. Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey. J Med Internet Res 2021 Feb 22;23(2):e24767.
- 125 Ploner N, Neurath MF, Schoenthaler M, Zielke A, Prokosch HU. Concept to gain trust for a German personal health record system using public cloud and FHIR. J Biomed Inform 2019 Jul;95:103212.
- 126 Phillips CA, Hunt A, Salvesen-Quinn M, Guerra J, Schapira MM, Bailey LC, et al. Health-related Google searches performed by parents of pediatric oncology patients. Pediatr Blood Cancer. 2019 Aug;66(8):e27795.
- 127 Castaneda P, Sales A, Osborne NH, Corriere MA. Scope, Themes, and Medical Accuracy of eHealth Peripheral Artery Disease Community Forums. Ann Vasc Surg 2019 Jan;54:92-102.
- 128 Cholowsky NL, Irvine JL, Simms JA, Pearson DD, Jacques WR, Peters CE, et al. The efficacy of public health information for encouraging radon gas awareness and testing varies by audience age, sex and profession. Sci Rep 2021 Jun 7;11(1):11906.
- 129 Wallace R, Behringer B. Potential of technology to improve the availability and use of health information on cancer subjects for clergy from rural communities. Health Info Libr J 2020 Mar;37(1):35-47.
- 130 Yeung T. Local health department adoption of electronic health records and health information exchanges and its impact on population health. Int J Med Inform 2019 Aug;128:1-6.
- 131 Turvey CL, Klein DM, Nazi KM, Haidary ST, Bouhaddou O, Hsing N, et al. Racial differences in patient consent policy preferences for electronic health information exchange. J Am Med Inform Assoc 2020 May 1;27(5):717-25.
- 132 Gill E, Dykes PC, Rudin RS, Storm M, McGrath K, Bates DW. Technology-facilitated care coordination in rural areas: What is needed? Int J Med Inform 2020 May;137:104102.
- 133 NLM. MeSH Descriptor Data 2022: Computer Security. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D016494
- 134 NLM. MeSH Descriptor Data 2022: Confidentiality. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D003219
- 135 Ota S, Kudo KI, Taguchi K, Ihori M, Yoshie S, Yamamoto T, et al. Development of a gateway for interoperability in community-based care: An empirical study. Technol Health Care 2018;26(1):57-67.
- 136 Tanaka K, Yamamoto R, Nakasho K, Miyaji A. Development of a Secure Cross-Institutional Data Collection System Based on Distributed Standardized EMR Storage. Stud Health Technol Inform 2018;255:35-9.
- 137 Zheng Y, Lu R, Shao J. Achieving Efficient and Privacy-Preserving k-NN Query for Outsourced eHealthcare Data. J Med Syst 2019 Mar 27;43(5):123.
- 138 De Backere F, Bonte P, Verstichel S, Ongenae F, De Turck F. Sharing health data in Belgium: A home care case study using the Vitalink platform. Inform Health Soc Care 2018 Jan;43(1):56-72.
- 139 Trageser J, Davidson JE. Improving Speed and Security When Sharing Protected Health Information of Deceased Organ Donors. Prog Transplant 2019 Sep;29(3):279-82.
- 140 Weiß JP, Welzel T, Hartmann BJ, Hübner U, Teuteberg F. Towards Designing a Secure Exchange Platform for Diabetes Monitoring and Therapy. Stud Health Technol Inform 2018;248:239-46.
- 141 Esmaeilzadeh P. The Effects of Public Concern for Information Privacy on the Adoption of Health Information Exchanges (HIEs) by Healthcare Entities. Health Commun 2019 Sep;34(10):1202-11.
- 142 Kisekka V, Giboney JS. The Effectiveness of Health Care Information Technologies: Evaluation of Trust, Security Beliefs, and Privacy as Determinants of Health Care Outcomes. J Med Internet Res 2018 Apr 11;20(4):e107.
- 143 Amin R, Islam SH, Gope P, Choo KR, Tapas N. Anonymity Preserving and Lightweight Multimedical Server Authentication Protocol for Telecare Medical Information System. IEEE J Biomed Health Inform 2019 Jul;23(4):1749-59.
- 144 Mandl KD, Kohane IS. Data Citizenship under the 21st Century Cures Act. N Engl J Med 2020 May 7;382(19):1781-3.
- 145 Abdelhamid M. Greater patient health information control to improve the sustainability of health information exchanges. J Biomed Inform 2018 Jul;83:150-8.
- 146 Kuziemsky CE, Gogia SB, Househ M, Petersen C, Basu A. Balancing Health Information Exchange and Privacy Governance from a Patient-Centred Connected Health and Telehealth Perspective. Yearb Med Inform 2018 Aug;27(1):48-54.
- 147 Platt JE, Jacobson PD, Kardia SLR. Public Trust in Health Information Sharing: A Measure of System Trust. Health Serv Res 2018 Apr;53(2):824-45.
- 148 Holen-Rabbersvik E, Thygesen E, Eikebrokk TR, Fensli RW, Slettebø Å. Barriers to exchanging healthcare information in inter-municipal healthcare services: a qualitative case study. BMC Med Inform Decis Mak 2018 Nov 7;18(1):92.
- 149 Mello MM, Adler-Milstein J, Ding KL, Savage L. Legal Barriers to the Growth of Health Information Exchange-Boulders or Pebbles? Milbank Q 2018 Mar;96(1):110-43.
- 150 Everson J, Butler E. Hospital adoption of multiple health information exchange approaches and information accessibility. J Am Med Inform Assoc 2020 Apr 1;27(4):577-83.
- 151 Avci G, Esenkaya I. A legal overview of the use of messaging platforms in healthcare. Acta Orthop Traumatol Turc 2021 Jan;55(1):3-4.
- 152 Mahmoud R, Moody AR, Foster M, Girdharry N, Sinn L, Zhang B, et al. Sharing De-identified Medical Images Electronically for Research: A Survey of Patients’ Opinion Regarding Data Management. Can Assoc Radiol J 2019 Aug;70(3):212-8.
- 153 Renardi MB, Basjaruddin NC, Rakhman E. Securing electronic medical record in Near Field Communication using Advanced Encryption Standard (AES). Technol Health Care 2018;26(2):357-62.
- 154 Dharminder D, Mishra D, Li X. Construction of RSA-Based Authentication Scheme in Authorized Access to Healthcare Services: Authorized Access to Healthcare Services. J Med Syst 2019 Nov 27;44(1):6.
- 155 Qi M, Chen J, Chen Y. A secure biometrics-based authentication key exchange protocol for multi-server TMIS using ECC. Comput Methods Programs Biomed 2018 Oct;164:101-9.
- 156 Renuka K, Kumari S, Li X. Design of a Secure Three-Factor Authentication Scheme for Smart Healthcare. J Med Syst 2019 Apr 3;43(5):133.
- 157 Chen Y, Ding S, Xu Z, Zheng H, Yang S. Blockchain-Based Medical Records Secure Storage and Medical Service Framework. J Med Syst 2018 Nov 22;43(1):5.
- 158 Esmaeilzadeh P, Mirzaei T. The Potential of Blockchain Technology for Health Information Exchange: Experimental Study From Patients’ Perspectives. J Med Internet Res 2019 Jun 20;21(6):e14184.
- 159 Tian H, He J, Ding Y. Medical Data Management on Blockchain with Privacy. J Med Syst 2019 Jan 3;43(2):26.
- 160 Zhuang Y, Sheets LR, Chen YW, Shae ZY, Tsai JJP, Shyu CR. A Patient-Centric Health Information Exchange Framework Using Blockchain Technology. IEEE J Biomed Health Inform 2020 Aug;24(8):2169-76.
- 161 Tian YD, Menegay H, Waite KA, Saroufim PG, Beno MF, Barnholtz-Sloan JS. Facilitating Cancer Epidemiologic Efforts in Cleveland via Creation of Longitudinal De-Duplicated Patient Data Sets. Cancer Epidemiol Biomarkers Prev 2020 Apr;29(4):787-95.
- 162 Ahmed W, Jagsi R, Gutheil TG, Katz MS. Public Disclosure on Social Media of Identifiable Patient Information by Health Professionals: Content Analysis of Twitter Data. J Med Internet Res 2020 Sep 1;22(9):e19746.
- 163 Knight S, Hayhoe B, Papanikitas A, Sajid I. Ethical issues in the use of online social media forums by GPs. Br J Gen Pract 2019 Apr;69(681):203-4.
- 164 Pevnick JM, Claver M, Dobalian A, Asch SM, Stutman HR, Tomines A, et al. Provider stakeholders’ perceived benefit from a nascent health information exchange: a qualitative analysis. J Med Syst 2012 Apr;36(2):601-13.
- 165 Rudin R, Volk L, Simon S, Bates D. What Affects Clinicians’ Usage of Health Information Exchange? Appl Clin Inform 2011 Jan 1;2(3):250-62.
- 166 Rudin RS. Why clinicians use or don’t use health information exchange. J Am Med Inform Assoc 2011 Jul-Aug;18(4):529.
- 167 Shapiro JS. Evaluating public health uses of health information exchange. J Biomed Inform 2007 Dec;40(6 Suppl):S46-9.
- 168 Vest JR, Zhao H, Jasperson J, Gamm LD, Ohsfeldt RL. Factors motivating and affecting health information exchange usage. J Am Med Inform Assoc 2011 Mar-Apr;18(2):143-9. Erratum in: J Am Med Inform Assoc 2011 May 1;18(3):348. Jaspserson, Jon [corrected to Jasperson, Jon].
- 169 Holmgren AJ, Adler-Milstein J. Health Information Exchange in US Hospitals: The Current Landscape and a Path to Improved Information Sharing. J Hosp Med 2017 Mar;12(3):193-8.
- 170 Vest JR, Kash BA. Differing Strategies to Meet Information-Sharing Needs: Publicly Supported Community Health Information Exchanges Versus Health Systems’ Enterprise Health Information Exchanges. Milbank Q 2016 Mar;94(1):77-108.
- 171 Vest JR, Campion TR Jr, Kaushal R; HITEC Investigators. Challenges, alternatives, and paths to sustainability for health information exchange efforts. J Med Syst 2013 Dec;37(6):9987.
- 172 Payne TH, Lovis C, Gutteridge C, Pagliari C, Natarajan S, Yong C, et al. Status of health information exchange: a comparison of six countries. J Glob Health 2019 Dec;9(2):0204279.
- 173 Adler-Milstein J, Lin SC, Jha AK. The Number Of Health Information Exchange Efforts Is Declining, Leaving The Viability Of Broad Clinical Data Exchange Uncertain. Health Aff (Millwood) 2016 Jul 1;35(7):1278-85.
- 174 Trusted Exchange Framework and Common Agreement (TEFCA) 2022. Available from: https://www.healthit.gov/topic/interoperability/trusted-exchange-framework-and-common-agreement-tefca
- 175 Walker J, Pan E, Johnston D, Adler-Milstein J, Bates DW, Middleton B. The value of health care information exchange and interoperability. Health Aff (Millwood) 2005 Jan-Jun;Suppl Web Exclusives:W5-10-W5-18.
- 176 Johnson KB, Unertl KM, Chen Q, Lorenzi NM, Nian H, Bailey J, et al. Health information exchange usage in emergency departments and clinics: the who, what, and why. J Am Med Inform Assoc 2011 Sep-Oct;18(5):690-7.
- 177 Torres GW, Swietek K, Ubri PS, Singer RF, Lowell KH, Miller W. Building and strengthening infrastructure for data exchange: lessons from the beacon communities. EGEMS (Wash DC) 2014 Sep 25;2(3):1092.
- 178 Zayas-Cabán T, Chaney KJ, Rogers CC, Denny JC, White PJ. Meeting the challenge: Health information technology’s essential role in achieving precision medicine. J Am Med Inform Assoc 2021 Jun 12;28(6):1345-52.
- 179 Allen C, Des Jardins TR, Heider A, Lyman KA, McWilliams L, Rein AL, et al. Data governance and data sharing agreements for community-wide health information exchange: lessons from the beacon communities. EGEMS (Wash DC) 2014 Apr 23;2(1):1057.
- 180 Williams C, Mostashari F, Mertz K, Hogin E, Atwal P. From the Office of the National Coordinator: the strategy for advancing the exchange of health information. Health Aff (Millwood) 2012 Mar;31(3):527-36. Erratum in: Health Aff (Millwood).2012 Mar;31(3):886.
- 181 Jenkins ML. Health IT advances for the 21st century. J Am Assoc Nurse Pract 2021 May 18;34(2):405-9.
- 182 Yasnoff WA, Humphreys BL, Overhage JM, Detmer DE, Brennan PF, Morris RW, et al. A consensus action agenda for achieving the national health information infrastructure. J Am Med Inform Assoc 2004 Jul-Aug;11(4):332-8.
- 183 Vest JR, Gamm LD. Health information exchange: persistent challenges and new strategies. J Am Med Inform Assoc 2010 May-Jun;17(3):288-94.
- 184 Deering MJ. Developing the health information infrastructure in the United States. Stud Health Technol Inform 2002;80:121-8.
- 185 Devine EB, Totten AM, Gorman P, Eden KB, Kassakian S, Woods S, et al. Health Information Exchange Use (1990-2015): A Systematic Review. EGEMS (Wash DC) 2017 Dec 7;5(1):27.
- 186 Kuperman GJ. Health-information exchange: why are we doing it, and what are we doing? J Am Med Inform Assoc 2011 Sep-Oct;18(5):678-82.
- 187 Unertl KM, Johnson KB, Lorenzi NM. Health information exchange technology on the front lines of healthcare: workflow factors and patterns of use. J Am Med Inform Assoc 2012 May-Jun;19(3):392-400.
- 188 Ash JS, Guappone KP. Qualitative evaluation of health information exchange efforts. J Biomed Inform 2007 Dec;40(6 Suppl):S33-9.
- 189 Edwards A, Hollin I, Barry J, Kachnowski S. Barriers to cross--institutional health information exchange: a literature review. J Healthc Inf Manag 2010 Summer;24(3):22-34.
- 190 Vest JR, Jasperson J. What should we measure? Conceptualizing usage in health information exchange. J Am Med Inform Assoc 2010 May-Jun;17(3):302-7.
- 191 Hyppönen H, Reponen J, Lääveri T, Kaipio J. User experiences with different regional health information exchange systems in Finland. Int J Med Inform 2014 Jan;83(1):1-18.
- 192 Akhlaq A, Sheikh A, Pagliari C. Health Information Exchange as a Complex and Adaptive Construct: Scoping Review. J Innov Health Inform 2017 Jan 25;23(4):889.
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References
- 1 McDonald CJ. The barriers to electronic medical record systems and how to overcome them. J Am Med Inform Assoc 1997 May-Jun;4(3):213-21.
- 2 Weed LL. Medical records that guide and teach. N Engl J Med 1968 Mar 14;278(11):593-600.
- 3 Adler-Milstein J, Ronchi E, Cohen GR, Winn LA, Jha AK. Benchmarking health IT among OECD countries: better data for better policy. J Am Med Inform Assoc 2014 Jan-Feb;21(1):111-6.
- 4 Zelmer J, Ronchi E, Hyppönen H, Lupiáñez-Villanueva F, Codagnone C, Nøhr C, et al. International health IT benchmarking: learning from cross-country comparisons. J Am Med Inform Assoc 2017 Mar 1;24(2):371-9..
- 5 Verma N, Mamlin B, Flowers J, Acharya S, Labrique A, Cullen T. OpenMRS as a global good: Impact, opportunities, challenges, and lessons learned from fifteen years of implementation. Int J Med Inform 2021 May;149:104405.
- 6 HIMSS. Interoperability in Healthcare: HIMSS. Available from: https://www.himss.org/resources/interoperability-healthcare
- 7 Oemig F, Snelick R. Healthcare Interoperability Standards Compliance Handbook: Conformance and Testing of Healthcare Data Exchange Standards. Cham: Springer International Publishing; 2016.
- 8 NLM. MeSH Descriptor Data 2022: Health Information Exchange. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D066275
- 9 Akhlaq A, McKinstry B, Muhammad KB, Sheikh A. Barriers and facilitators to health information exchange in low- and middle-income country settings: a systematic review. Health Policy Plan 2016 Nov;31(9):1310-25.
- 10 Bloomrosen M, Berner ES. Findings from the 2017 Yearbook Section on Health Information Management. Yearb Med Inform 2017 Aug;26(1):78-83.
- 11 Bloomrosen M, Berner ES; Section Editors for the IMIA Yearbook Section on Health Information Management. Findings from 2017 on Health Information Management. Yearb Med Inform 2018 Aug;27(1):67-73.
- 12 Bloomrosen M, Berner ES; Section Editors for the IMIA Yearbook Section on Health Information Management. Findings from the 2021 Yearbook Section on Health Information Management. Yearb Med Inform 2021 Aug;30(1):84-90.
- 13 Bougioukas KI, Bouras EC, Avgerinos KI, Dardavessis T, Haidich AB. How to keep up to date with medical information using web-based resources: a systematised review and narrative synthesis. Health Info Libr J 2020 Dec;37(4):254-92.
- 14 Cheung A, van Velden FH, Lagerburg V, Minderman N. The organizational and clinical impact of integrating bedside equipment to an information system: a systematic literature review of patient data management systems (PDMS). Int J Med Inform 2015 Mar;84(3):155-65.
- 15 Eden KB, Totten AM, Kassakian SZ, Gorman PN, McDonagh MS, Devine B, et al. Barriers and facilitators to exchanging health information: a systematic review. Int J Med Inform 2016 Apr;88:44-51.
- 16 Garza M, Myneni S, Nordo A, Eisenstein EL, Hammond WE, Walden A, et al. eSource for Standardized Health Information Exchange in Clinical Research: A Systematic Review. Stud Health Technol Inform 2019;257:115-24.
- 17 Goss KD, Ioerger M, Young V, Flanders RM, Turk MA. A systematic search and technical review of online information pertaining to medical care for people with disability. Disabil Health J 2020 Apr;13(2):100877.
- 18 Howe N, Giles E, Newbury-Birch D, McColl E. Systematic review of participants’ attitudes towards data sharing: a thematic synthesis. J Health Serv Res Policy 2018 Apr;23(2):123-33.
- 19 Hurst D, Mickan S. Describing knowledge encounters in healthcare: a mixed studies systematic review and development of a classification. Implement Sci 2017 Mar 14;12(1):35.
- 20 Jayabalan M, O’Daniel T. Access control and privilege management in electronic health record: a systematic literature review. J Med Syst 2016 Dec;40(12):261.
- 21 Kash BA, Baek J, Davis E, Champagne-Langabeer T, Langabeer JR 2nd. Review of successful hospital readmission reduction strategies and the role of health information exchange. Int J Med Inform 2017 Aug;104:97-104.
- 22 Kruse CS, Marquez G, Nelson D, Palomares O. The Use of Health Information Exchange to Augment Patient Handoff in Long-Term Care: A Systematic Review. Appl Clin Inform 2018 Oct;9(4):752-71.
- 23 Leniz J, Weil A, Higginson IJ, Sleeman KE. Electronic palliative care coordination systems (EPaCCS): a systematic review. BMJ Support Palliat Care 2020 Mar;10(1):68-78.
- 24 Mayer AH, da Costa CA, Righi RDR. Electronic health records in a Blockchain: A systematic review. Health Informatics J 2020 Jun;26(2):1273-88.
- 25 Menachemi N, Rahurkar S, Harle CA, Vest JR. The benefits of health information exchange: an updated systematic review. J Am Med Inform Assoc 2018 Sep 1;25(9):1259-65.
- 26 O’Donoghue O, Vazirani AA, Brindley D, Meinert E. Design Choices and Trade-Offs in Health Care Blockchain Implementations: Systematic Review. J Med Internet Res 2019 May 10;21(5):e12426.
- 27 Ovies-Bernal DP, Agudelo-Londòno SM. Lecciones aprendidas en la implementaciòn de sistemas nacionales de informaciòn de salud interoperables: una revisiòn sistemática [Lessons learned in the implementation of interoperable National Health Information Systems: a systematic review]. Rev Panam Salud Publica 2014 May-Jun;35(5-6):415-23. Spanish.
- 28 Prihodova L, Guerin S, Tunney C, Kernohan WG. Key components of knowledge transfer and exchange in health services research: Findings from a systematic scoping review. J Adv Nurs 2019 Feb;75(2):313-26.
- 29 Rudin RS, Motala A, Goldzweig CL, Shekelle PG. Usage and effect of health information exchange: a systematic review. Ann Intern Med 2014 Dec 2;161(11):803-11.
- 30 Sadoughi F, Nasiri S, Ahmadi H. The impact of health information exchange on healthcare quality and cost-effectiveness: A systematic literature review. Comput Methods Programs Biomed 2018 Jul;161:209-32.
- 31 Sbaffi L, Rowley J. Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research. J Med Internet Res 2017 Jun 19;19(6):e218.
- 32 Shen N, Bernier T, Sequeira L, Strauss J, Silver MP, Carter-Langford A, et al. Understanding the patient privacy perspective on health information exchange: A systematic review. Int J Med Inform 2019 May;125:1-12.
- 33 Swain MJ, Kharrazi H. Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data. Int J Med Inform 2015 Dec;84(12):1048-56.
- 34 van der Meij E, Anema JR, Otten RH, Huirne JA, Schaafsma FG. The Effect of Perioperative E-Health Interventions on the Postoperative Course: A Systematic Review of Randomised and Non-Randomised Controlled Trials. PLoS One 2016 Jul 6;11(7):e0158612.
- 35 Julia Programming Language 2022 Available from: https://julialang.org
- 36 Health Information Technology for Economic and Clinical Health Act (HITECH Act) 2009. Available from: https://www.healthit.gov/sites/default/files/hitech_act_excerpt_from_arra_with_index.pdf
- 37 21st Century Cures Act 2016. Available from: https://www.congress.gov/114/plaws/publ255/PLAW-114publ255.pdf
- 38 NLM. MeSH Descriptor Data 2022: Information Dissemination. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D033181
- 39 Adler-Milstein J, Garg A, Zhao W, Patel V. A Survey Of Health Information Exchange Organizations In Advance Of A Nationwide Connectivity Framework. Health Aff (Millwood) 2021 May;40(5):736-44.
- 40 Lin SC, Everson J, Adler-Milstein J. Technology, Incentives, or Both? Factors Related to Level of Hospital Health Information Exchange. Health Serv Res 2018 Oct;53(5):3285-308.
- 41 Everson J, Patel V, Adler-Milstein J. Information blocking remains prevalent at the start of 21st Century Cures Act: results from a survey of health information exchange organizations. J Am Med Inform Assoc 2021 Mar 18;28(4):727-32.
- 42 Hess CT. The Free Exchange of Health Information: Preventing Information Blocking. Adv Skin Wound Care 2018 Aug;31(8):383-4.
- 43 Fredriksen E, Martinez S, Moe CE, Thygesen E. Communication and information exchange between primary healthcare employees and volunteers - Challenges, needs and possibilities for technology support. Health Soc Care Community 2020 Jul;28(4):1252-60.
- 44 Klapman S, Sher E, Adler-Milstein J. A snapshot of health information exchange across five nations: an investigation of frontline clinician experiences in emergency care. J Am Med Inform Assoc 2018 Jun 1;25(6):686-93. Erratum in: J Am Med Inform Assoc 2018 Sep 1;25(9):1269.
- 45 Chen M, Guo S, Tan X. Does Health Information Exchange Improve Patient Outcomes? Empirical Evidence From Florida Hospitals. Health Aff (Millwood) 2019 Feb;38(2):197-204.
- 46 D’Amore JD, McCrary LK, Denson J, Li C, Vitale CJ, Tokachichu P, et al. Clinical data sharing improves quality measurement and patient safety. J Am Med Inform Assoc 2021 Jul 14;28(7):1534-42.
- 47 Davoody N, Koch S, Krakau I, Hägglund M. Accessing and sharing health information for post-discharge stroke care through a national health information exchange platform - a case study. BMC Med Inform Decis Mak 2019 May 3;19(1):95.
- 48 Guerrazzi Young C, Feldman SS, Hernandez SR. Inter-organizational information sharing and bundled payment reimbursement: Do hospitals in the US use health information exchange to collaborate? Int J Med Inform 2021 Jan;145:104298.
- 49 Thew S, Leeming G, Ainsworth J. Addressing the Socio-Technical Challenges of Health Information Exchange Adoption: DataWell in Greater Manchester. Stud Health Technol Inform 2018;247:790-4.
- 50 Watkinson F, Dharmayat KI, Mastellos N. A mixed-method service evaluation of health information exchange in England: technology acceptance and barriers and facilitators to adoption. BMC Health Serv Res 2021 Jul 25;21(1):737.
- 51 Goodstein RS. Practitioner Application: How Does Electronic Health Information Exchange Affect Hospital Performance Efficiency? The Effects of Breadth and Depth of Information Sharing. J Healthc Manag 2018 May-Jun;63(3):228-9.
- 52 Vest JR, Unruh MA, Shapiro JS, Casalino LP. The associations between query-based and directed health information exchange with potentially avoidable use of health care services. Health Serv Res 2019 Oct;54(5):981-93.
- 53 Cho NE, Ke W, Atems B, Chang J. How Does Electronic Health Information Exchange Affect Hospital Performance Efficiency? The Effects of Breadth and Depth of Information Sharing. J Healthc Manag 2018 May-Jun;63(3):212-28.
- 54 Everson J, Adler-Milstein J. Sharing information electronically with other hospitals is associated with increased sharing of patients. Health Serv Res. 2020 Feb;55(1):128-35.
- 55 Gan D, Shen J, Xu M. Adaptive Learning Emotion Identification Method of Short Texts for Online Medical Knowledge Sharing Community. Comput Intell Neurosci 2019 Jun 25;2019:1604392.
- 56 Hamdan AA, Shaqman M, Abu Karaky A, Hassona Y, Bouchard P. Medical reliability of a video-sharing website: The gingival recession model. Eur J Dent Educ 2019 May;23(2):175-83.
- 57 Thapa P, Thapa A, Khadka N, Bhattarai R, Jha S, Khanal A, et al. YouTube lens to attention deficit hyperactivity disorder: a social media analysis. BMC Res Notes 2018 Dec 4;11(1):854.
- 58 Hernandez MY, Hernandez M, Lopez DH, Gamez D, Lopez SR. What do health providers and patients tweet about schizophrenia? Early Interv Psychiatry 2020 Oct;14(5):613-8.
- 59 Séroussi B, Bouaud J. The (Re)-Relaunching of the DMP, the French Shared Medical Record: New Features to Improve Uptake and Use. Stud Health Technol Inform 2018;247:256-60.
- 60 Esmaeilzadeh P. Patients’ Perceptions of Different Information Exchange Mechanisms: An Exploratory Study in the United States. Methods Inf Med 2020 Aug;59(4-05):162-78.
- 61 Esmaeilzadeh P, Mirzaei T, Dharanikota S. The impact of data entry structures on perceptions of individuals with chronic mental disorders and physical diseases towards health information sharing. Int J Med Inform 2020 Sep;141:104157.
- 62 Zhuang Y, Sheets L, Shae Z, Tsai JJP, Shyu CR. Applying Blockchain Technology for Health Information Exchange and Persistent Monitoring for Clinical Trials. AMIA Annu Symp Proc 2018 Dec 5;2018:1167-75.
- 63 NLM. MeSH Descriptor Data 2022: Delivery of Health Care. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D003695
- 64 Addis S, Holland-Hart D, Edwards A, Neal RD, Wood F. Implementing Prudent Healthcare in the NHS in Wales; what are the barriers and enablers for clinicians? J Eval Clin Pract 2019 Feb;25(1):104-10.
- 65 Guerrazzi C. An International Perspective on Health Information Exchange: Adoption in OECD Countries With Different Health Care System Configurations. Med Care Res Rev 2020 Aug;77(4):299-311.
- 66 De Pietro C, Francetic I. E-health in Switzerland: The laborious adoption of the federal law on electronic health records (EHR) and health information exchange (HIE) networks. Health Policy 2018 Feb;122(2):69-74.
- 67 Vest JR, Unruh MA, Freedman S, Simon K. Health systems’ use of enterprise health information exchange vs single electronic health record vendor environments and unplanned readmissions. J Am Med Inform Assoc 2019 Oct 1;26(10):989-98.
- 68 Zhuang Y, Chen YW, Shae ZY, Shyu CR. Generalizable Layered Blockchain Architecture for Health Care Applications: Development, Case Studies, and Evaluation. J Med Internet Res 2020 Jul 27;22(7):e19029.
- 69 Nahm ES, Schoenbaum A, Behm C, Rowen L. Health Information Exchange: Practical Overview and Implications for Nursing Practice. J Nurs Adm 2020 Nov;50(11):584-9.
- 70 Pellegrin K, Chan F, Pagoria N, Jolson-Oakes S, Uyeno R, Levin A. A Statewide Medication Management System: Health Information Exchange to Support Drug Therapy Optimization by Pharmacists across the Continuum of Care. Appl Clin Inform 2018 Jan;9(1):1-10.
- 71 Oyeyemi AO, Scott P. Interoperability in Health and Social Care: Organizational Issues are the Biggest Challenge. J Innov Health Inform 2018 Oct 31;25(3):196-8.
- 72 Kasthurirathne SN, Biondich PG, Grannis SJ, Purkayastha S, Vest JR, Jones JF. Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach. J Med Internet Res 2019 Jul 22;21(7):e13809.
- 73 Mukhiya SK, Lamo Y. An HL7 FHIR and GraphQL approach for interoperability between heterogeneous Electronic Health Record systems. Health Informatics J 2021 Jul-Sep;27(3):14604582211043920.
- 74 Thayer JG, Ferro DF, Miller JM, Karavite D, Grundmeier RW, Utidjian L, et al. Human-centered development of an electronic health record-embedded, interactive information visualization in the emergency department using fast healthcare interoperability resources. J Am Med Inform Assoc 2021 Jul 14;28(7):1401-10.
- 75 Rucker DW. Implementing the Cures Act - Bringing Consumer Computing to Health Care. N Engl J Med 2020 May 7;382(19):1779-81.
- 76 Lee K, Lim K, Jung SY, Ji H, Hong K, Hwang H, et al. Perspectives of Patients, Health Care Professionals, and Developers Toward Blockchain-Based Health Information Exchange: Qualitative Study. J Med Internet Res 2020 Nov 13;22(11):e18582.
- 77 Kyburz P, Gfeller S, Bürkle T, Denecke K. Exchanging Appointment Data Among Healthcare Institutions. Stud Health Technol Inform 2019;260:33-40.
- 78 Kiourtis A, Mavrogiorgou A, Menesidou SA, Gouvas P, Kyriazis D. A Secure Protocol for Managing and Sharing Personal Healthcare Data. Stud Health Technol Inform 2020 Nov 23;275:92-6.
- 79 Esmaeilzadeh P, Mirzaei T, Maddah M. The effects of data entry structure on patients’ perceptions of information quality in Health Information Exchange (HIE). Int J Med Inform 2020 Mar;135:104058.
- 80 Xiao D, Song C, Nakamura N, Nakayama M. Development of an application concerning fast healthcare interoperability resources based on standardized structured medical information exchange version 2 data. Comput Methods Programs Biomed 2021 Sep;208:106232.
- 81 NLM. MeSH Descriptor Data 2022: Hospitals. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D006761
- 82 Walker DM. Does participation in health information exchange improve hospital efficiency? Health Care Manag Sci 2018 Sep;21(3):426-38.
- 83 Lin SC, Hollingsworth JM, Adler-Milstein J. Alternative payment models and hospital engagement in health information exchange. Am J Manag Care 2019 Jan 1;25(1):e1-e6.
- 84 Pylypchuk Y, Barker W, Encinosa W, Searcy T. Impact of the 2015 Health Information Technology Certification Edition on Interoperability among Hospitals. J Am Med Inform Assoc 2021 Aug 13;28(9):1866-73.
- 85 Taura N, Matsumoto T, Honda M. The Evaluation of the Medical Information Exchange on 24-Hour Operation at North Kyushu Area in Japan. Stud Health Technol Inform 2019 Aug 21;264:1789-90.
- 86 Chandrasekaran R, Sankaranarayanan B, Pendergrass J. Unfulfilled promises of health information exchange: What inhibits ambulatory clinics from electronically sharing health information? Int J Med Inform 2021 May;149:104418.
- 87 Shields MC, Ritter G, Busch AB. Electronic Health Information Exchange At Discharge From Inpatient Psychiatric Care In Acute Care Hospitals. Health Aff (Millwood) 2020 Jun;39(6):958-67.
- 88 Everson J, Adler-Milstein J. Gaps in health information exchange between hospitals that treat many shared patients. J Am Med Inform Assoc 2018 Sep 1;25(9):1114-21.
- 89 Raymond L, Maillet Ë, Trudel MC, Marsan J, de Guinea AO, Paré G. Advancing laboratory medicine in hospitals through health information exchange: a survey of specialist physicians in Canada. BMC Med Inform Decis Mak 2020 Feb 28;20(1):44.
- 90 Cho NE, Hong K, Chang J. Do Market Characteristics Matter? Factors Associated with Health Information Exchange. Int J Environ Res Public Health 2021 Nov 15;18(22):11976.
- 91 Martinez DA, Feijoo F, Zayas-Castro JL, Levin S, Das TK. A strategic gaming model for health information exchange markets. Health Care Manag Sci 2018 Mar;21(1):119-30.
- 92 Thoral PJ, Peppink JM, Driessen RH, Sijbrands EJG, Kompanje EJO, Kaplan L, et al; Amsterdam University Medical Centers Database (AmsterdamUMCdb) Collaborators and the SCCM/ESICM Joint Data Science Task Force. Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example. Crit Care Med 2021 Jun 1;49(6):e563-e577.
- 93 Lakshmi Dhevi B, Vishvaksenan KS, Senthamil Selvan K, Rajalakshmi A. Patient Monitoring System Using Cognitive Internet of Things. J Med Syst 2018 Oct 11;42(11):229.
- 94 Poirot E, Mills CW, Fair AD, Graham KA, Martinez E, Schreibstein L, et al. Evaluation of a health information exchange system for microcephaly case-finding - New York City, 2013-2015. PLoS One 2020 Aug 17;15(8):e0237392.
- 95 Braund R, Lawrence CK, Baum L, Kessler B, Vassart M, Coulter C. Quality of electronic records documenting adverse drug reactions within a hospital setting: identification of discrepancies and information completeness. N Z Med J 2019 Jan 18;132(1488):28-37.
- 96 Guerrazzi C, Feldman SS. Health information exchange: What matters at the organizational level? J Biomed Inform 2020 Feb;102:103375.
- 97 Osheroff JA. Healthcare Information and Management Systems Society. Improving outcomes with clinical decision support : an implementer’s guide. 2nd ed. Chicago, IL: HIMSS; 2012.
- 98 Centemero NS, Rechel B. Barriers and facilitators to a health information exchange system between general practitioners and hospitals: a qualitative study in Southern Switzerland. Swiss Med Wkly 2021 Oct 14;151:w30063.
- 99 Rahurkar S, Vest JR, Finnell JT, Dixon BE. Trends in user-initiated health information exchange in the inpatient, outpatient, and emergency settings. J Am Med Inform Assoc 2021 Mar 1;28(3):622-7.
- 100 Sarzynski E, Ensberg M, Parkinson A, Fitzpatrick L, Houdeshell L, Given C, et al. Eliciting nurses’ perspectives to improve health information exchange between hospital and home health care. Geriatr Nurs 2019 May-Jun;40(3):277-83.
- 101 Woodward M, De Pennington N, Grandidge C, McCulloch P, Morgan L. Development and evaluation of an electronic hospital referral system: a human factors approach. Ergonomics 2020;63(6):710-23.
- 102 NLM. MeSH Descriptor Data 2022: Emergency Service, Hospital. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D004636
- 103 Han X, Lowry TY, Loo GT, Rabin EJ, Grinspan ZM, Kern LM, et al. Expanding Health Information Exchange Improves Identification of Frequent Emergency Department Users. Ann Emerg Med 2019 Feb;73(2):172-9.
- 104 Shy BD, Loo GT, Lowry T, Kim EY, Hwang U, Richardson LD, et al. Bouncing Back Elsewhere: Multilevel Analysis of Return Visits to the Same or a Different Hospital After Initial Emergency Department Presentation. Ann Emerg Med 2018 May;71(5):555-63.e1.
- 105 Vest JR, Ben-Assuli O. Prediction of emergency department revisits using area-level social determinants of health measures and health information exchange information. Int J Med Inform 2019 Sep;129:205-10.
- 106 Bell TM, Gilyan D, Moore BA, Martin J, Ogbemudia B, McLaughlin BE, et al. Long-term evaluation of a hospital-based violence intervention program using a regional health information exchange. J Trauma Acute Care Surg. 2018 Jan;84(1):175-82.
- 107 Ben-Assuli O, Vest JR. Data mining techniques utilizing latent class models to evaluate emergency department revisits. J Biomed Inform 2020 Jan;101:103341.
- 108 Dixon BE, Schwartzkopf AL, Guerrero VM, May J, Koufacos NS, Bean AM, et al. Regional data exchange to improve care for veterans after non-VA hospitalization: a randomized controlled trial. BMC Med Inform Decis Mak 2019 Jul 4;19(1):125.
- 109 Gryczynski J, Nordeck CD, Martin RD, Welsh C, Schwartz RP, Mitchell SG, et al. Leveraging health information exchange for clinical research: Extreme underreporting of hospital service utilization among patients with substance use disorders. Drug Alcohol Depend 2020 Jul 1;212:107992.
- 110 Rosenkrantz AB, Smith SW, Recht MP, Horwitz LI. Perceptions of Radiologists and Emergency Medicine Providers Regarding the Quality, Value, and Challenges of Outside Image Sharing in the Emergency Department Setting. AJR Am J Roentgenol 2020 Apr;214(4):843-52.
- 111 Cummins MR, Del Fiol G, Crouch BI, Ranade-Kharkar P, Khalifa A, Iskander A, et al. Enabling health information exchange at a US Poison Control Center. J Am Med Inform Assoc 2020 Jul 1;27(7):1000-6.
- 112 Schoenbaum AE, Seckman C. Impact of a Prescription Drug Monitoring Program on Health Information Exchange Utilization, Prescribing Behaviors, and Care Coordination in an Emergency Department. Comput Inform Nurs 2019 Dec;37(12):647-54.
- 113 Vest JR, Unruh MA, Hilts KE, Sanner L, Jones J, Khokhar S, et al. End user information needs for a SMART on FHIR-based automated transfer form to support the care of nursing home patients during emergency department visits. AMIA Annu Symp Proc 2021 Jan 25;2020:1239-48.
- 114 Koch S, Hersh WR, Bellazzi R, Leong TY, Yedaly M, Al-Shorbaji N. Digital Health during COVID-19: Informatics Dialogue with the World Health Organization. Yearb Med Inform 2021 Aug;30(1):13-6.
- 115 Walker DM, Yeager VA, Lawrence J, McAlearney AS. Identifying Opportunities to Strengthen the Public Health Informatics Infrastructure: Exploring Hospitals’ Challenges with Data Exchange. Milbank Q 2021 Jun;99(2):393-425.
- 116 Kasturi SN, Park J, Wild D, Khan B, Haggstrom DA, Grannis S. Predicting COVID-19-Related Health Care Resource Utilization Across a Statewide Patient Population: Model Development Study. J Med Internet Res 2021 Nov 15;23(11):e31337.
- 117 Tortolero GA, Brown MR, Sharma SV, de Oliveira Otto MC, Yamal JM, Aguilar D, et al. Leveraging a health information exchange for analyses of COVID-19 outcomes including an example application using smoking history and mortality. PLoS One 2021 Jun 3;16(6):e0247235.
- 118 Lenert L, McSwain BY. Balancing health privacy, health information exchange, and research in the context of the COVID-19 pandemic. J Am Med Inform Assoc 2020 Jun 1;27(6):963-6.
- 119 O’Reilly-Shah VN, Gentry KR, Van Cleve W, Kendale SM, Jabaley CS, Long DR. The COVID-19 Pandemic Highlights Shortcomings in US Health Care Informatics Infrastructure: A Call to Action. Anesth Analg 2020 Aug;131(2):340-4.
- 120 Newman N, Gilman S, Burdumy M, Yimen M, Lattouf O. A novel tool for patient data management in the ICU-Ensuring timely and accurate vital data exchange among ICU team members. Int J Med Inform 2020 Dec;144:104291.
- 121 Murri R, Segala FV, Del Vecchio P, Cingolani A, Taddei E, Micheli G, et al; COVID II Columbus Group. Social media as a tool for scientific updating at the time of COVID pandemic: Results from a national survey in Italy. PLoS One 2020 Sep 3;15(9):e0238414.
- 122 White-Dzuro CG, Schultz JD, Ye C, Coco JR, Myers JM, Shackelford C, et al. Extracting Medical Information from Paper COVID-19 Assessment Forms. Appl Clin Inform 2021 Jan;12(1):170-8.
- 123 Wong SP, Jacobson HN, Massengill J, White HK, Yanamadala M. Safe Interorganizational Health Information Exchange During the COVID-19 Pandemic. J Am Med Dir Assoc 2020 Dec;21(12):1808-10.
- 124 Elkefi S, Yu Z, Asan O. Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey. J Med Internet Res 2021 Feb 22;23(2):e24767.
- 125 Ploner N, Neurath MF, Schoenthaler M, Zielke A, Prokosch HU. Concept to gain trust for a German personal health record system using public cloud and FHIR. J Biomed Inform 2019 Jul;95:103212.
- 126 Phillips CA, Hunt A, Salvesen-Quinn M, Guerra J, Schapira MM, Bailey LC, et al. Health-related Google searches performed by parents of pediatric oncology patients. Pediatr Blood Cancer. 2019 Aug;66(8):e27795.
- 127 Castaneda P, Sales A, Osborne NH, Corriere MA. Scope, Themes, and Medical Accuracy of eHealth Peripheral Artery Disease Community Forums. Ann Vasc Surg 2019 Jan;54:92-102.
- 128 Cholowsky NL, Irvine JL, Simms JA, Pearson DD, Jacques WR, Peters CE, et al. The efficacy of public health information for encouraging radon gas awareness and testing varies by audience age, sex and profession. Sci Rep 2021 Jun 7;11(1):11906.
- 129 Wallace R, Behringer B. Potential of technology to improve the availability and use of health information on cancer subjects for clergy from rural communities. Health Info Libr J 2020 Mar;37(1):35-47.
- 130 Yeung T. Local health department adoption of electronic health records and health information exchanges and its impact on population health. Int J Med Inform 2019 Aug;128:1-6.
- 131 Turvey CL, Klein DM, Nazi KM, Haidary ST, Bouhaddou O, Hsing N, et al. Racial differences in patient consent policy preferences for electronic health information exchange. J Am Med Inform Assoc 2020 May 1;27(5):717-25.
- 132 Gill E, Dykes PC, Rudin RS, Storm M, McGrath K, Bates DW. Technology-facilitated care coordination in rural areas: What is needed? Int J Med Inform 2020 May;137:104102.
- 133 NLM. MeSH Descriptor Data 2022: Computer Security. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D016494
- 134 NLM. MeSH Descriptor Data 2022: Confidentiality. Available from: https://meshb.nlm.nih.gov/record/ui?ui=D003219
- 135 Ota S, Kudo KI, Taguchi K, Ihori M, Yoshie S, Yamamoto T, et al. Development of a gateway for interoperability in community-based care: An empirical study. Technol Health Care 2018;26(1):57-67.
- 136 Tanaka K, Yamamoto R, Nakasho K, Miyaji A. Development of a Secure Cross-Institutional Data Collection System Based on Distributed Standardized EMR Storage. Stud Health Technol Inform 2018;255:35-9.
- 137 Zheng Y, Lu R, Shao J. Achieving Efficient and Privacy-Preserving k-NN Query for Outsourced eHealthcare Data. J Med Syst 2019 Mar 27;43(5):123.
- 138 De Backere F, Bonte P, Verstichel S, Ongenae F, De Turck F. Sharing health data in Belgium: A home care case study using the Vitalink platform. Inform Health Soc Care 2018 Jan;43(1):56-72.
- 139 Trageser J, Davidson JE. Improving Speed and Security When Sharing Protected Health Information of Deceased Organ Donors. Prog Transplant 2019 Sep;29(3):279-82.
- 140 Weiß JP, Welzel T, Hartmann BJ, Hübner U, Teuteberg F. Towards Designing a Secure Exchange Platform for Diabetes Monitoring and Therapy. Stud Health Technol Inform 2018;248:239-46.
- 141 Esmaeilzadeh P. The Effects of Public Concern for Information Privacy on the Adoption of Health Information Exchanges (HIEs) by Healthcare Entities. Health Commun 2019 Sep;34(10):1202-11.
- 142 Kisekka V, Giboney JS. The Effectiveness of Health Care Information Technologies: Evaluation of Trust, Security Beliefs, and Privacy as Determinants of Health Care Outcomes. J Med Internet Res 2018 Apr 11;20(4):e107.
- 143 Amin R, Islam SH, Gope P, Choo KR, Tapas N. Anonymity Preserving and Lightweight Multimedical Server Authentication Protocol for Telecare Medical Information System. IEEE J Biomed Health Inform 2019 Jul;23(4):1749-59.
- 144 Mandl KD, Kohane IS. Data Citizenship under the 21st Century Cures Act. N Engl J Med 2020 May 7;382(19):1781-3.
- 145 Abdelhamid M. Greater patient health information control to improve the sustainability of health information exchanges. J Biomed Inform 2018 Jul;83:150-8.
- 146 Kuziemsky CE, Gogia SB, Househ M, Petersen C, Basu A. Balancing Health Information Exchange and Privacy Governance from a Patient-Centred Connected Health and Telehealth Perspective. Yearb Med Inform 2018 Aug;27(1):48-54.
- 147 Platt JE, Jacobson PD, Kardia SLR. Public Trust in Health Information Sharing: A Measure of System Trust. Health Serv Res 2018 Apr;53(2):824-45.
- 148 Holen-Rabbersvik E, Thygesen E, Eikebrokk TR, Fensli RW, Slettebø Å. Barriers to exchanging healthcare information in inter-municipal healthcare services: a qualitative case study. BMC Med Inform Decis Mak 2018 Nov 7;18(1):92.
- 149 Mello MM, Adler-Milstein J, Ding KL, Savage L. Legal Barriers to the Growth of Health Information Exchange-Boulders or Pebbles? Milbank Q 2018 Mar;96(1):110-43.
- 150 Everson J, Butler E. Hospital adoption of multiple health information exchange approaches and information accessibility. J Am Med Inform Assoc 2020 Apr 1;27(4):577-83.
- 151 Avci G, Esenkaya I. A legal overview of the use of messaging platforms in healthcare. Acta Orthop Traumatol Turc 2021 Jan;55(1):3-4.
- 152 Mahmoud R, Moody AR, Foster M, Girdharry N, Sinn L, Zhang B, et al. Sharing De-identified Medical Images Electronically for Research: A Survey of Patients’ Opinion Regarding Data Management. Can Assoc Radiol J 2019 Aug;70(3):212-8.
- 153 Renardi MB, Basjaruddin NC, Rakhman E. Securing electronic medical record in Near Field Communication using Advanced Encryption Standard (AES). Technol Health Care 2018;26(2):357-62.
- 154 Dharminder D, Mishra D, Li X. Construction of RSA-Based Authentication Scheme in Authorized Access to Healthcare Services: Authorized Access to Healthcare Services. J Med Syst 2019 Nov 27;44(1):6.
- 155 Qi M, Chen J, Chen Y. A secure biometrics-based authentication key exchange protocol for multi-server TMIS using ECC. Comput Methods Programs Biomed 2018 Oct;164:101-9.
- 156 Renuka K, Kumari S, Li X. Design of a Secure Three-Factor Authentication Scheme for Smart Healthcare. J Med Syst 2019 Apr 3;43(5):133.
- 157 Chen Y, Ding S, Xu Z, Zheng H, Yang S. Blockchain-Based Medical Records Secure Storage and Medical Service Framework. J Med Syst 2018 Nov 22;43(1):5.
- 158 Esmaeilzadeh P, Mirzaei T. The Potential of Blockchain Technology for Health Information Exchange: Experimental Study From Patients’ Perspectives. J Med Internet Res 2019 Jun 20;21(6):e14184.
- 159 Tian H, He J, Ding Y. Medical Data Management on Blockchain with Privacy. J Med Syst 2019 Jan 3;43(2):26.
- 160 Zhuang Y, Sheets LR, Chen YW, Shae ZY, Tsai JJP, Shyu CR. A Patient-Centric Health Information Exchange Framework Using Blockchain Technology. IEEE J Biomed Health Inform 2020 Aug;24(8):2169-76.
- 161 Tian YD, Menegay H, Waite KA, Saroufim PG, Beno MF, Barnholtz-Sloan JS. Facilitating Cancer Epidemiologic Efforts in Cleveland via Creation of Longitudinal De-Duplicated Patient Data Sets. Cancer Epidemiol Biomarkers Prev 2020 Apr;29(4):787-95.
- 162 Ahmed W, Jagsi R, Gutheil TG, Katz MS. Public Disclosure on Social Media of Identifiable Patient Information by Health Professionals: Content Analysis of Twitter Data. J Med Internet Res 2020 Sep 1;22(9):e19746.
- 163 Knight S, Hayhoe B, Papanikitas A, Sajid I. Ethical issues in the use of online social media forums by GPs. Br J Gen Pract 2019 Apr;69(681):203-4.
- 164 Pevnick JM, Claver M, Dobalian A, Asch SM, Stutman HR, Tomines A, et al. Provider stakeholders’ perceived benefit from a nascent health information exchange: a qualitative analysis. J Med Syst 2012 Apr;36(2):601-13.
- 165 Rudin R, Volk L, Simon S, Bates D. What Affects Clinicians’ Usage of Health Information Exchange? Appl Clin Inform 2011 Jan 1;2(3):250-62.
- 166 Rudin RS. Why clinicians use or don’t use health information exchange. J Am Med Inform Assoc 2011 Jul-Aug;18(4):529.
- 167 Shapiro JS. Evaluating public health uses of health information exchange. J Biomed Inform 2007 Dec;40(6 Suppl):S46-9.
- 168 Vest JR, Zhao H, Jasperson J, Gamm LD, Ohsfeldt RL. Factors motivating and affecting health information exchange usage. J Am Med Inform Assoc 2011 Mar-Apr;18(2):143-9. Erratum in: J Am Med Inform Assoc 2011 May 1;18(3):348. Jaspserson, Jon [corrected to Jasperson, Jon].
- 169 Holmgren AJ, Adler-Milstein J. Health Information Exchange in US Hospitals: The Current Landscape and a Path to Improved Information Sharing. J Hosp Med 2017 Mar;12(3):193-8.
- 170 Vest JR, Kash BA. Differing Strategies to Meet Information-Sharing Needs: Publicly Supported Community Health Information Exchanges Versus Health Systems’ Enterprise Health Information Exchanges. Milbank Q 2016 Mar;94(1):77-108.
- 171 Vest JR, Campion TR Jr, Kaushal R; HITEC Investigators. Challenges, alternatives, and paths to sustainability for health information exchange efforts. J Med Syst 2013 Dec;37(6):9987.
- 172 Payne TH, Lovis C, Gutteridge C, Pagliari C, Natarajan S, Yong C, et al. Status of health information exchange: a comparison of six countries. J Glob Health 2019 Dec;9(2):0204279.
- 173 Adler-Milstein J, Lin SC, Jha AK. The Number Of Health Information Exchange Efforts Is Declining, Leaving The Viability Of Broad Clinical Data Exchange Uncertain. Health Aff (Millwood) 2016 Jul 1;35(7):1278-85.
- 174 Trusted Exchange Framework and Common Agreement (TEFCA) 2022. Available from: https://www.healthit.gov/topic/interoperability/trusted-exchange-framework-and-common-agreement-tefca
- 175 Walker J, Pan E, Johnston D, Adler-Milstein J, Bates DW, Middleton B. The value of health care information exchange and interoperability. Health Aff (Millwood) 2005 Jan-Jun;Suppl Web Exclusives:W5-10-W5-18.
- 176 Johnson KB, Unertl KM, Chen Q, Lorenzi NM, Nian H, Bailey J, et al. Health information exchange usage in emergency departments and clinics: the who, what, and why. J Am Med Inform Assoc 2011 Sep-Oct;18(5):690-7.
- 177 Torres GW, Swietek K, Ubri PS, Singer RF, Lowell KH, Miller W. Building and strengthening infrastructure for data exchange: lessons from the beacon communities. EGEMS (Wash DC) 2014 Sep 25;2(3):1092.
- 178 Zayas-Cabán T, Chaney KJ, Rogers CC, Denny JC, White PJ. Meeting the challenge: Health information technology’s essential role in achieving precision medicine. J Am Med Inform Assoc 2021 Jun 12;28(6):1345-52.
- 179 Allen C, Des Jardins TR, Heider A, Lyman KA, McWilliams L, Rein AL, et al. Data governance and data sharing agreements for community-wide health information exchange: lessons from the beacon communities. EGEMS (Wash DC) 2014 Apr 23;2(1):1057.
- 180 Williams C, Mostashari F, Mertz K, Hogin E, Atwal P. From the Office of the National Coordinator: the strategy for advancing the exchange of health information. Health Aff (Millwood) 2012 Mar;31(3):527-36. Erratum in: Health Aff (Millwood).2012 Mar;31(3):886.
- 181 Jenkins ML. Health IT advances for the 21st century. J Am Assoc Nurse Pract 2021 May 18;34(2):405-9.
- 182 Yasnoff WA, Humphreys BL, Overhage JM, Detmer DE, Brennan PF, Morris RW, et al. A consensus action agenda for achieving the national health information infrastructure. J Am Med Inform Assoc 2004 Jul-Aug;11(4):332-8.
- 183 Vest JR, Gamm LD. Health information exchange: persistent challenges and new strategies. J Am Med Inform Assoc 2010 May-Jun;17(3):288-94.
- 184 Deering MJ. Developing the health information infrastructure in the United States. Stud Health Technol Inform 2002;80:121-8.
- 185 Devine EB, Totten AM, Gorman P, Eden KB, Kassakian S, Woods S, et al. Health Information Exchange Use (1990-2015): A Systematic Review. EGEMS (Wash DC) 2017 Dec 7;5(1):27.
- 186 Kuperman GJ. Health-information exchange: why are we doing it, and what are we doing? J Am Med Inform Assoc 2011 Sep-Oct;18(5):678-82.
- 187 Unertl KM, Johnson KB, Lorenzi NM. Health information exchange technology on the front lines of healthcare: workflow factors and patterns of use. J Am Med Inform Assoc 2012 May-Jun;19(3):392-400.
- 188 Ash JS, Guappone KP. Qualitative evaluation of health information exchange efforts. J Biomed Inform 2007 Dec;40(6 Suppl):S33-9.
- 189 Edwards A, Hollin I, Barry J, Kachnowski S. Barriers to cross--institutional health information exchange: a literature review. J Healthc Inf Manag 2010 Summer;24(3):22-34.
- 190 Vest JR, Jasperson J. What should we measure? Conceptualizing usage in health information exchange. J Am Med Inform Assoc 2010 May-Jun;17(3):302-7.
- 191 Hyppönen H, Reponen J, Lääveri T, Kaipio J. User experiences with different regional health information exchange systems in Finland. Int J Med Inform 2014 Jan;83(1):1-18.
- 192 Akhlaq A, Sheikh A, Pagliari C. Health Information Exchange as a Complex and Adaptive Construct: Scoping Review. J Innov Health Inform 2017 Jan 25;23(4):889.