ArticleLearning health systems2021
A maturity grid assessment tool for learning networks.
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 36 papers.
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Who cites it
36 citing papers in PubMed.
- Development of the Learning Health Systems Toolkit: A Collaborative Effort to Bridge Concept and Practice.Learning health systems · 2026Article
- Leading Learning Health Systems: Strategies Used to Establish and Conduct a Learning Health System.Journal of general internal medicine · 2026Article
- Measuring healthcare quality in police custody: the development of quality indicators through expert consultations in the Netherlands.Health & justice · 2026Article
- The bottleneck was never data or algorithms: building a learning utility for AI-enabled learning health systems.npj health systems · 2026Article
- The Monash learning health system maturity matrix: codesign of a tool to measure and guide improvement in complex health system behaviour.BMC health services research · 2026Article
- Quality as an organizational strategy: building a system of improvement.Frontiers in health services · 2026Article
- A maturity model framework for federated networks of trusted research environments.Frontiers in digital health · 2026Article
- Assessing healthcare organizations' readiness to implement a learning health system: questionnaire validation using a Delphi method.BMC health services research · 2025Article
- Evaluating health organization readiness for implementing a learning health system: a scoping review.Health research policy and systems · 2025Article
- Ten Reasons Why Learning Health Systems Will Have a Transformational Effect on Health and Health Care.Learning health systems · 2025Article
- BDJournal of affective disorders · 2025Article
- Article
- Evaluating Maturity Models in Healthcare Information Systems: A Comprehensive Review.Healthcare (Basel, Switzerland) · 2025Review
- 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
- Operationalizing a learning health system: A self-assessment tool for interprofessional teams.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
- Developing a codebook to characterize barriers, enablers, and strategies for implementing learning health systems from a multilevel perspective.Learning health systems · 2025Article
- Four distinct models of learning health systems: Strength through diversity.Learning health systems · 2025Article
- An agent-based model to advance the science of collaborative learning health systems.PloS one · 2025Article
- The foundational science of learning health systems.Health services research · 2024Article
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8 authors.
Funding
Abstract
backgroundThe vision of learning healthcare systems (LHSs) is attractive as a more effective model for health care services, but achieving the vision is complex. There is limited literature describing the processes needed to construct such multicomponent systems or to assess development.
methodsWe used the concept of a capability maturity matrix to describe the maturation of necessary infrastructure and processes to create learning networks (LNs), multisite collaborative LHSs that use an actor-oriented network organizational architecture. We developed a network maturity grid (NMG) assessment tool by incorporating information from literature review, content theory from existing networks, and expert opinion to establish domains and components. We refined the maturity grid in response to feedback from network leadership teams. We followed NMG scores over time for nine LNs and plotted scores for each domain component with respect to SD for one participating network. We sought subjective feedback on the experience of applying the NMG to individual networks.
resultsLN leaders evaluated the scope, depth, and applicability of the NMG to their networks. Qualitative feedback from network leaders indicated that changes in NMG scores over time aligned with leaders' reports about growth in specific domains; changes in scores were consistent with network efforts to improve in various areas. Scores over time showed differences in maturation in the individual domains of each network. Scoring patterns, and SD for domain component scores, indicated consistency among LN leaders in some but not all aspects of network maturity. A case example from a participating network highlighted the value of the NMG in prompting strategic discussions about network development and demonstrated that the process of using the tool was itself valuable.
conclusionsThe capability maturity grid proposed here provides a framework to help those interested in creating Learning Health Networks plan and develop them over time.
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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.