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DOI: 10.1055/s-0042-1758736
Integrating a Patient Engagement App into an Electronic Health Record-Enabled Workflow Using Interoperability Standards
Funding This work is based on research conducted by NORC at the University of Chicago under contract to the Agency for Healthcare Research and Quality (AHRQ), Rockville, Maryland, United States (contract no.: HHSP233201500023I).Abstract
Background Patient use of mobile health applications is increasing. To promote patient-centered care, data from these apps must be integrated into clinician workflows within the electronic health record (EHR). Health Level 7 Fast Healthcare Interoperability Resources (FHIR) offers a standards-based application programming interface (API) that may support such integration.
Objective We aimed to use interoperability standards to integrate a patient mobile application (coronavirus 2019 [COVID-19] Tracker) with an EHR. The COVID-19 Tracker engages patients by sending introductory and reminder text messages, collecting vital signs and symptom data from COVID-19 patients, and providing actionable guidance if concerning issues are identified. This case report explored the use of FHIR APIs to integrate the app into EHR-enabled clinical workflows.
Methods The authors used notes from project meetings and from semistructured discussions among the application development team to track the design and implementation processes. Seven points of integration between the application and the EHR were identified, and approaches using FHIR to perform these integrations were delineated.
Results Although this clinical decision support integration project benefited from its standards-based approach, many challenges were encountered. These were due to (1) partial implementation of the FHIR standard in the EHR, particularly, components needed for patient engagement applications; (2) limited experience with the adoption of FHIR standards; and (3) gaps in the current FHIR standard. Alternative approaches, often not based on interoperability standards, were developed to overcome these limitations.
Conclusion Despite the challenges encountered due to the early stages of FHIR development and adoption, FHIR standards provide a promising mechanism for overcoming longstanding barriers and facilitating the integration of patient engagement apps with EHRs. To accelerate the integration of apps into clinical workflows, additional components of the FHIR standard must be implemented within the EHR and other clinical systems. Continued expansion of available FHIR resources will help with tighter workflow integration.
Authors' Contributions
All authors made substantial contributions to the conception, design, and execution of this research. All authors participated in drafting the manuscript or revising it critically for important intellectual content and gave final approval of the version published.
Data Availability Statement
The data underlying this article are available in the article.
Protection of Human and Animal Subjects
The study was performed in compliance with the World Medical Association Declaration of Helsinki on Ethical Principles for Medical Research Involving Human Subjects and was reviewed by the NORC and Yale New Haven Health System Institutional Review Boards.
Publication History
Received: 13 April 2022
Accepted: 29 September 2022
Article published online:
14 December 2022
© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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References
- 1 Cushing A, Manice MP, Ting A, Parides MK. Feasibility of a novel mHealth management system to capture and improve medication adherence among adolescents with asthma. Patient Prefer Adherence 2016; 10: 2271-2275
- 2 Cooley ME, Abrahm JL, Berry DL. et al. Algorithm-based decision support for symptom self-management among adults with cancer: results of usability testing. BMC Med Inform Decis Mak 2018; 18 (01) 31
- 3 Fiks AG, Mayne S, Karavite DJ, DeBartolo E, Grundmeier RW. A shared e-decision support portal for pediatric asthma. J Ambul Care Manage 2014; 37 (02) 120-126
- 4 Saleem JJ, Wilck NR, Murphy JJ, Herout J. Veteran and staff experience from a pilot program of health care system-distributed wearable devices and data sharing. Appl Clin Inform 2022; 13 (03) 532-540
- 5 Cohen DJ, Keller SR, Hayes GR, Dorr DA, Ash JS, Sittig DF. Integrating patient-generated health data into clinical care settings or clinical decision-making: lessons learned from project HealthDesign. JMIR Human Factors 2016; 3 (02) e26
- 6 Patient Safety Network. Alert Fatigue. Patient Safety 101: Primers. Published September 7, 2019. Accessed August 3, 2021 at: https://psnet.ahrq.gov/primer/alert-fatigue
- 7 Ye J. The impact of electronic health record-integrated patient-generated health data on clinician burnout. J Am Med Inform Assoc 2021; 28 (05) 1051-1056
- 8 Rudin RS, Fanta CH, Predmore Z. et al. Core components for a clinically integrated mHealth App for asthma symptom monitoring. Appl Clin Inform 2017; 8 (04) 1031-1043
- 9 CDC. Coronavirus Disease 2019 (COVID-19). Centers for Disease Control and Prevention. Published February 11, 2020. Accessed October 15, 2021 at: https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/underlying-evidence-table.html
- 10 Cash JJ. Alert fatigue. Am J Health Syst Pharm 2009; 66 (23) 2098-2101
- 11 Index - FHIR v4.0.1. Accessed October 15, 2021 at: http://hl7.org/fhir/
- 12 Marceglia S, Fontelo P, Rossi E, Ackerman MJ. A standards-based architecture proposal for integrating patient mHealth apps to electronic health record systems. Appl Clin Inform 2015; 6 (03) 488-505
- 13 Dolin RH, Alschuler L, Boyer S. et al. HL7 Clinical Document Architecture, Release 2. J Am Med Inform Assoc 2006; 13 (01) 30-39
- 14 Patient-Centered Outcomes Research Clinical Decision Support. Current State and Future Directions | Digital Healthcare Research. Accessed November 9, 2021 at: https://digital.ahrq.gov/ahrq-funded-projects/patient-centered-outcomes-research-clinical-decision-support-current-state-and#h=future%20directions
- 15 Osheroff JA. Healthcare Information and Management Systems Society, eds. Improving Outcomes with Clinical Decision Support: An Implementer's Guide. 2nd ed. HIMSS; 2005
- 16 Strasberg HR, Rhodes B, Del Fiol G, Jenders RA, Haug PJ, Kawamoto K. Contemporary clinical decision support standards using Health Level Seven International Fast Healthcare Interoperability Resources. J Am Med Inform Assoc 2021; 28 (08) 1796-1806
- 17 Johnson C, Richwine C, Patel V. Individuals'. Access and Use of Patient Portals and Smartphone Health Apps 2020; 2021 (57) 14
- 18 Barker W, Johnson C. The ecosystem of apps and software integrated with certified health information technology. J Am Med Inform Assoc 2021; 28 (11) 2379-2384
- 19 Ayaz M, Pasha MF, Alzahrani MY, Budiarto R, Stiawan D. The Fast Health Interoperability Resources (FHIR) Standard: systematic literature review of implementations, applications, challenges and opportunities. JMIR Med Inform 2021; 9 (07) e21929
- 20 KLAS Research. Trends in EMR Interoperability. Published online January 2021. Accessed November 4, 2021 at: https://chimecentral.org/wp-content/uploads/2021/01/Trends-in-EMR-Interoperability_CHIME_KLAS.pdf
- 21 21st Century Cures Act. Vol H.R.34.; 2016. Accessed August 24, 2022 at. https://www.gpo.gov/fdsys/pkg/BILLS-114hr34enr/pdf/BILLS-114hr34enr.pdf
- 22 Dullabh P, Hovey L, Heaney-Huls K, Rajendran N, Wright A, Sittig DF. Application programming interfaces in health care: findings from a current-state sociotechnical assessment. Appl Clin Inform 2020; 11 (01) 59-69
- 23 Sayeed R, Gottlieb D, Mandl KD. SMART Markers: collecting patient-generated health data as a standardized property of health information technology. NPJ Digit Med 2020; 3 (01) 9
- 24 Gordon WJ, Landman A, Zhang H, Bates DW. Beyond validation: getting health apps into clinical practice. NPJ Digit Med 2020; 3: 14