Applying Implementation Science to Advance Electronic Health Record–Driven Learning Health Systems: Case Studies, Challenges, and Recommendations

With the widespread implementation of electronic health records (EHRs), there has been significant progress in developing learning health systems (LHSs) aimed at improving health and health care delivery through rapid and continuous knowledge generation and translation. To support LHSs in achieving...

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Vydáno v:Journal of medical Internet research Ročník 26; číslo 8; s. e55472
Hlavní autoři: Trinkley, Katy E, Maw, Anna M, Torres, Cristina Huebner, Huebschmann, Amy G, Glasgow, Russell E
Médium: Journal Article
Jazyk:angličtina
Vydáno: Canada Journal of Medical Internet Research 07.10.2024
JMIR Publications
Témata:
Case studies
Decision support systems
Electronic Health Records
Electronic records
Evidence-based medicine
Health care industry
Health care reform
Humans
Implementation Science
Information management
Learning Health System - methods
Medical informatics
Medical records
Methods
Quality management
Technology application
Viewpoint
United States
information technology
chronic care
learning health systems
electronic health record
research and technology
evidence-based medicine
implementation science
ISSN:1438-8871, 1439-4456, 1438-8871
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Shrnutí:With the widespread implementation of electronic health records (EHRs), there has been significant progress in developing learning health systems (LHSs) aimed at improving health and health care delivery through rapid and continuous knowledge generation and translation. To support LHSs in achieving these goals, implementation science (IS) and its frameworks are increasingly being leveraged to ensure that LHSs are feasible, rapid, iterative, reliable, reproducible, equitable, and sustainable. However, 6 key challenges limit the application of IS to EHR-driven LHSs: barriers to team science, limited IS experience, data and technology limitations, time and resource constraints, the appropriateness of certain IS approaches, and equity considerations. Using 3 case studies from diverse health settings and 1 IS framework, we illustrate these challenges faced by LHSs and offer solutions to overcome the bottlenecks in applying IS and utilizing EHRs, which often stymie LHS progress. We discuss the lessons learned and provide recommendations for future research and practice, including the need for more guidance on the practical application of IS methods and a renewed emphasis on generating and accessing inclusive data.
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ISSN:1438-8871
1439-4456
1438-8871
DOI:10.2196/55472