ArticleLearning health systems2025
Four distinct models of learning health systems: Strength through diversity.
Article in Learning health systems, 2025. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Exploring Barriers, Enablers, and Strategies for Implementing Learning Health System Projects in Healthcare Organizations: A Multilevel Analysis in an Australian Setting.Learning health systems · 2026Article
- Knowledge Traffic in Learning Health Systems: A Conceptual Framework for Organizational Phenotyping and Translational Governance.Learning health systems · 2026Article
- The HALO Model: A Learning Health System Framework for Artificial Intelligence.Learning health systems · 2026Article
- Clinical and translational science award hubs in learning health systems: development of the engine-drivetrain model.Journal of translational medicine · 2026Article
- Learning Health Systems, Equity, and Bounded Justice: A Critical Scoping Review.Learning health systems · 2026Article
- Visualizing the Maternal Health Journey for Learning Health Systems: Mixed Methods Combined Experience Approach.Journal of participatory medicine · 2026Article
- Bridging Health Equity, Quality Improvement, and Patient Safety: A Framework for Medical Student Education.Learning health systems · 2026Article
- Ten Reasons Why Learning Health Systems Will Have a Transformational Effect on Health and Health Care.Learning health systems · 2025Article
- Four distinct models of learning health systems: Strength through diversity.Learning health systems · 2025Article
- Empowering partnership: key lessons from the co-development of patient-oriented research with parents, researchers, and healthcare professionals.Frontiers in health services · 2025Article
- An agent-based model to advance the science of collaborative learning health systems.PloS one · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The concept of a learning health system (LHS) was established nearly 20 years ago as a unifying commitment to speed the generation and use of evidence primarily by leveraging rapid advances in data and technologies, resulting in optimized care for each patient. In the ensuing decades, vanguard adopters of the LHS who have sought to move the LHS from conceptual to operational have done so in ways that fit with and reflect their organizational structure, mission, and culture-as well as their personal values and experiences. They have also extended the focus from health care to include individual and population health more broadly. This commentary describes four distinctive models that have evolved as learning health system activities have matured. Viewing this diversity as a strength, the features, commonalities, and unique differences of these models are described.
Indexed as
Identifiers
What OpenQuestion holds
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.