Evidence map›Paper›PMID 41345674›Full record

ArticleHealth research policy and systems2025

Evaluating health organization readiness for implementing a learning health system: a scoping review.

Catherine M Giroux, Aliki Thomas, André Bussières, Zacharia Esfandiari, Nicole George, Fernanda Menescal, Paula L Bush, Mohammed Alkhaldi, Pascaline Kengne Talla, Yves Couturier and 2 more

Abstract readScoping Review
In one paragraph

Article in Health research policy and systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Catherine M GirouxFaculty of Medicine and Health Sciences, McGill University, Montreal, Canada.
Aliki ThomasFaculty of Medicine and Health Sciences, McGill University, Montreal, Canada.
André BussièresFaculty of Medicine and Health Sciences, McGill University, Montreal, Canada.
Zacharia EsfandiariFaculty of Medicine and Health Sciences, McGill University, Montreal, Canada.
Nicole GeorgeFaculty of Medicine and Health Sciences, McGill University, Montreal, Canada.
Fernanda MenescalFaculty of Medicine and Health Sciences, McGill University, Montreal, Canada.
Paula L BushFaculty of Medicine and Health Sciences, McGill University, Montreal, Canada.
Mohammed AlkhaldiFaculty of Medicine and Health Sciences, McGill University, Montreal, Canada.
Pascaline Kengne TallaFaculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Canada.
Yves CouturierDepartment of Social Work, Université de Sherbooke, Sherbrooke, Canada.
Marie-Eve PoitrasFaculty of Health Sciences, Université de Sherbrooke, Sherbrooke, Canada.
Sara AhmedFaculty of Medicine and Health Sciences, McGill University, Montreal, Canada. sara.ahmed@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLearning health systems (LHS) may improve healthcare access, innovation, coordination, continuity and quality. To ensure implementation success, healthcare organizations must be able to assess their current readiness to adopt an LHS approach; however, there is a paucity of LHS-specific readiness tools in the extant literature. Thus, the overarching aim of this study was to map the depth and breadth of LHS literature to identify the domains and items, alongside barriers, facilitators, implementation strategies and competencies relevant to include in an LHS readiness tool.

methodsA scoping review informed by Arksey and O'Malley's framework and updates proposed by Levac et al. was employed. Scopus, MEDLINE, Embase, CINAHL, PsychINFO, Education Source and Business Source Complete were searched from inception to May 2024. English or French publications that addressed the definitions, frameworks, competencies, barriers and facilitators of an LHS were eligible.

resultsThe bibliographic database search and screening process yielded 90 articles, published between 2007 and 2024. A total of 72 articles defined LHS, with most emphasizing continuous learning cycles, evidence integration, infrastructure and stakeholder engagement. In addition, 56 articles presented 21 frameworks (educational, logic, maturity, organizational, equity and implementation), and 50 described key domains, including the D2K-K2P-P2D cycle, core values, and leadership, governance, and data infrastructure. Barriers to implementation included limited resources, unsupportive culture, poor interoperability and ethical challenges, while facilitators were strong leadership, shared purpose, robust partnerships and supportive policies. Identified competencies spanned research, informatics, quality improvement, systems science, engagement and ethics, with educational strategies ranging from collaboratives and training programs to graduate curricula and peer learning. Readiness and maturity assessments were discussed in 28 articles, but only a few operationalized these concepts. No specific LHS readiness assessments were identified.

conclusionsCurrent readiness tools derived from quality-improvement contexts may be helpful but not sufficiently specific for assessing healthcare organizations' readiness to implement an LHS approach. This review identified important barriers, facilitators, and strategies related to the collective behaviour change required to implement an LHS approach that should be considered in the future development of an LHS readiness assessment.

Indexed as

Delivery of Health CareLearning Health SystemOrganizational InnovationHumansAssessmentBarriers and facilitatorsImplementationLearning health systemsOrganizational readiness to change

Identifiers

PMID41345674
PMCPMC12781749

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.