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DOI: 10.1055/a-2174-7820
Visualization of Patient-Generated Health Data: A Scoping Review of Dashboard Designs
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.: 75Q80120D00018 for the Clinical Decision Support Innovation Center [CDSiC]).
Abstract
Background Patient-centered clinical decision support (PC CDS) aims to assist with tailoring decisions to an individual patient's needs. Patient-generated health data (PGHD), including physiologic measurements captured frequently by automated devices, provide important information for PC CDS. The volume and availability of such PGHD is increasing, but how PGHD should be presented to clinicians to best aid decision-making is unclear.
Objectives Identify best practices in visualizations of physiologic PGHD, for designing a software application as a PC CDS tool.
Methods We performed a scoping review of studies of PGHD dashboards that involved clinician users in design or evaluations. We included only studies that used physiologic PGHD from single patients for usage in decision-making.
Results We screened 468 titles and abstracts, 63 full-text papers, and identified 15 articles to include in our review. Some research primarily sought user input on PGHD presentation; other studies garnered feedback only as a side effort for other objectives (e.g., integration with electronic health records [EHRs]). Development efforts were often in the domains of chronic diseases and collected a mix of physiologic parameters (e.g., blood pressure and heart rate) and activity data. Users' preferences were for data to be presented with statistical summaries and clinical interpretations, alongside other non-PGHD data. Recurrent themes indicated that users desire longitudinal data display, aggregation of multiple data types on the same screen, actionability, and customization. Speed, simplicity, and availability of data for other purposes (e.g., documentation) were key to dashboard adoption. Evaluations were favorable for visualizations using common graphing or table formats, although best practices for implementation have not yet been established.
Conclusion Although the literature identified common themes on data display, measures, and usability, more research is needed as PGHD usage grows. Ensuring that care is tailored to individual needs will be important in future development of clinical decision support.
Keywords
clinical decision support - patient-centered care - shared decision-making - patient-generated health data - other clinical informatics applications - patient engagementProtection of Human and Animal Subjects
No human or animal subjects were included in this project.
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.
Publikationsverlauf
Eingereicht: 05. Juni 2023
Angenommen: 11. September 2023
Accepted Manuscript online:
13. September 2023
Artikel online veröffentlicht:
22. November 2023
© 2023. Thieme. All rights reserved.
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
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