ArticleLearning health systems2021
A science of collaborative learning health systems.
Article in Learning health systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Leading Learning Health Systems: Strategies Used to Establish and Conduct a Learning Health System.Journal of general internal medicine · 2026Article
- Evaluating health organization readiness for implementing a learning health system: a scoping review.Health research policy and systems · 2025Article
- Towards responsible surveillance in preventive health data-AI research.PLOS digital health · 2025Article
- Ten Reasons Why Learning Health Systems Will Have a Transformational Effect on Health and Health Care.Learning health systems · 2025Article
- Learning about learning health systems: Strengthening theory through continuous evaluation and improvement.Learning health systems · 2025Article
- How an evidence synthesis program's growth has supported research use and learning community partnership networks within a learning health system: A descriptive analysis and case series.Learning health systems · 2025Article
- Cystic Fibrosis Learning Network Telehealth Innovation Lab During the COVID-19 Pandemic: Impact on Access to Care, Outcomes, and a New CF Care Model.Pediatric pulmonology · 2025Article
- Four distinct models of learning health systems: Strength through diversity.Learning health systems · 2025Article
- Forging a learning health system for early psychosis: Insights from the academic community EPINET.Schizophrenia research · 2025Article
- Engagement as a mechanism of action in collaborative learning health systems.Learning health systems · 2025Article
- The Academic Community Early Psychosis Intervention Network: Toward building a novel learning health system across six US states.Learning health systems · 2025Article
- Exploring Physicians' Dual Perspectives on the Transition From Free Text to Structured and Standardized Documentation Practices: Interview and Participant Observational Study.JMIR formative research · 2025Observational
- The power of personas: Exploring an innovative model for understanding stakeholder perspectives in an oncology learning health network.Learning health systems · 2025Article
- An agent-based model to advance the science of collaborative learning health systems.PloS one · 2025Article
- Bringing a Systems Approach to Living Donor Kidney Transplantation.Kidney international reports · 2024Article
- Interventions to improve system-level coproduction in the Cystic Fibrosis Learning Network.BMJ open quality · 2024Article
- A regional learning health system of congregate care facilities for COVID-19 response.Learning health systems · 2024Article
- Building a regional pediatric asthma learning health system in support of optimal, equitable outcomes.Learning health systems · 2024Article
- Conceptualizing and redefining successful patient engagement in patient advisory councils in learning health networks.Learning health systems · 2024Article
- 21st century (clinical) decision support in nursing and allied healthcare. Developing a learning health system: a reasoned design of a theoretical framework.BMC medical informatics and decision making · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionImproving the U.S. healthcare system and health outcomes is one of the most pressing public health challenges of our time. Previously described Collaborative Learning Health Systems (CLHSs) are a promising approach to outcomes improvement. In order to fully realize this promise, a deeper understanding of this phenomenon is necessary.
methodsWe drew on our experience over the past decade with CLHSs as well as qualitative literature review to answer three questions: What kind of phenomena are CLHSs? and what is an appropriate scientific approach? How might we frame CLHSs conceptually? What are potential mechanisms of action?
resultsCLHSs are complex adaptive systems in which all stakeholders are able to collaborate, at scale, to create and share resources to satisfy a variety of needs. This is accomplished by providing infrastructure and services that enable stakeholders to act on their inherent motivations. This framing has implications for both research and practice.
conclusionArticulating this framework and potential mechanisms of action should facilitate research to test and refine hypotheses as well as guide practice to develop and optimize this promising approach to improving healthcare systems.
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.