ArticleJournal of medical Internet research2024
Applying Implementation Science to Advance Electronic Health Record-Driven Learning Health Systems: Case Studies, Challenges, and Recommendations.
Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Assessing PRISM context domains and RE-AIM outcomes: data from use of the iterative PRISM webtool.Implementation science communications · 2026Article
- Using large language models to enhance clinically-driven missing data recovery algorithms in electronic health records.JAMIA open · 2026Article
- Exploring Technological Solutions for Interoperability Between Patient Electronic Medical Records and Clinical Registries: Scoping Review.Journal of medical Internet research · 2026Article
- Method to engage invested partners to co-create feasible and sustainable approaches to design and implement cancer prevention and control tools.Research involvement and engagement · 2026Article
- Collection of implementation-related data in pragmatic clinical trials: a cross-sectional study from the NIH Pragmatic Trials Collaboratory.Implementation science communications · 2026Article
- Respiratory virology dashboards for primary care and public health insight in England.PloS one · 2026Article
- Assessing PRISM context domains and RE-AIM outcomes: Data from use of the Iterative PRISM Webtool.Research square · 2025Article
- Pragmatic Integration of User-Centered Design and Implementation Science: A New Methodological Approach for Clinical Decision Support Implementation in EHRs.Applied clinical informatics · 2025Article
- Application of Nudges to Design Clinical Decision Support Tools: Systematic Approach Guided by Implementation Science.Journal of medical Internet research · 2025Article
- Applications of implementation science (IS) in learning health systems (LHS): a scoping review protocol.BMJ open · 2025Article
- Impact of an Alert-Based Inpatient Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome: Large-Scale, System-Wide Observational Study.Journal of medical Internet research · 2025Observational
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.