ArticleLearning health systems2019
A framework for analysing learning health systems: Are we removing the most impactful barriers?
Article in Learning health systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- Toward a Smart Learning Health System: An Ontology-Based Framework.Learning health systems · 2026Article
- 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
- The bottleneck was never data or algorithms: building a learning utility for AI-enabled learning health systems.npj health systems · 2026Article
- Using large language models to enhance clinically-driven missing data recovery algorithms in electronic health records.JAMIA open · 2026Article
- Operationalizing a learning health system: A self-assessment tool for interprofessional teams.Learning health systems · 2025Article
- Developing a codebook to characterize barriers, enablers, and strategies for implementing learning health systems from a multilevel perspective.Learning health systems · 2025Article
- Learning health system linchpins: information exchange and a common data model.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Review
- Frameworks, guidelines, and tools to develop a learning health system for Indigenous health: An environmental scan for Canada.Learning health systems · 2024Article
- Barriers to Adoption of Tailored Drug-Drug Interaction Clinical Decision Support.Applied clinical informatics · 2023Article
- Learning health systems in low-income and middle-income countries: exploring evidence and expert insights.BMJ global health · 2022Review
- Article
- Clarifying the concept of a learning health system for healthcare delivery organizations: Implications from a qualitative analysis of the scientific literature.Learning health systems · 2022Article
- Making Diabetes Electronic Medical Record Data Actionable: Promoting Benchmarking and Population Health Improvement Using the T1D Exchange Quality Improvement Portal.Clinical diabetes : a publication of the American Diabetes Association · 2022Article
- How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care.BMC medical informatics and decision making · 2021Article
- Mobilizing health district management teams through digital tools: Lessons from the District.Team initiative in Benin and Guinea using an action research methodology.Learning health systems · 2021Article
- Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- A framework for analysing learning health systems: Are we removing the most impactful barriers?Learning health systems · 2019Article
- LAGOS: learning health systems and how they can integrate with patient care.BMJ health & care informatics · 2019Article
- Why We Are Losing the War Against COVID-19 on the Data Front and How to Reverse the Situation.JMIRx medArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLearning health systems (LHS) are one of the major computing advances in health care. However, no prior research has systematically analysed barriers and facilitators for LHS. This paper presents an investigation into the barriers, benefits, and facilitating factors for LHS in order to create a basis for their successful implementation and adoption.
methodsFirst, the ITPOSMO-BBF framework was developed based on the established ITPOSMO (information, technology, processes, objectives, staffing, management, and other factors) framework, extending it for analysing barriers, benefits, and facilitators. Second, the new framework was applied to LHS.
resultsWe found that LHS shares similar barriers and facilitators with electronic health records (EHR); in particular, most facilitator effort in implementing EHR and LHS goes towards barriers categorised as
conclusionsSuccessful adoption of LHS should take account of the framework proposed in this paper, especially with respect to its focus on removing barriers that have the most impact.
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.