ArticleBMC medicine2017
Can learning health systems help organisations deliver personalised care?
Article in BMC medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of Patient-Reported Experience Measures in Pediatric Care: A Systematic Review.Frontiers in pediatrics · 2021Pooled it
- Applications of Smart Textiles for Ambulatory Electrocardiogram Monitoring: Scoping Review of the Literature.JMIR cardio · 2026Article
- Clinical Informatics Education to Advance Learning Health Systems: A Scoping Review.Learning health systems · 2026Article
- Development and validation of a machine learning risk prediction model for asthma attacks in adults in primary care.NPJ primary care respiratory medicine · 2025Article
- Learning health system linchpins: information exchange and a common data model.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Data Science and Precision Oncology Nursing: Creating an Analytic Ecosystem to Support Personalized Supportive Care across the Trajectory of Illness.Seminars in oncology nursing · 2023Article
- An Adaptive Healthcare Organization Can Effectively Respond to Medical Crises.International journal of public health · 2023Article
- Article
- Strategies for working across Canadian practice-based research and learning networks (PBRLNs) in primary care: focus on frailty.BMC family practice · 2021Article
- Feasibility of computerized clinical decision support for pediatric to adult care transitions for patients with special healthcare needs.JAMIA open · 2021Article
- Towards a Responsible Transition to Learning Healthcare Systems in Precision Medicine: Ethical Points to Consider.Journal of personalized medicine · 2021Review
- Governing Personalized Health: A Scoping Review.Frontiers in genetics · 2021Article
- Transforming public health using value lens and extended partner networks.Learning health systems · 2021Article
- Systematic Patient Navigation Strategies to Scale Breast Cancer Disparity Reduction by Improved Cancer Prevention and Care Delivery Processes.JCO oncology practice · 2020Article
- Patient Preferences Regarding Informed Consent Models for Participation in a Learning Health Care System for Oncology.JCO oncology practice · 2020Article
- From LearningLearning health systems · 2020Article
- Blockchain-Authenticated Sharing of Genomic and Clinical Outcomes Data of Patients With Cancer: A Prospective Cohort Study.Journal of medical Internet research · 2020Article
- Implementing learning health systems in the UK NHS: Policy actions to improve collaboration and transparency and support innovation and better use of analytics.Learning health systems · 2020Article
- LAGOS: learning health systems and how they can integrate with patient care.BMJ health & care informatics · 2019Article
- A framework for analysing learning health systems: Are we removing the most impactful barriers?Learning health systems · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is increasing international policy and clinical interest in developing learning health systems and delivering precision medicine, which it is hoped will help reduce variation in the quality and safety of care, improve efficiency, and lead to increasing the personalisation of healthcare. Although reliant on similar policies, informatics tools, and data science and implementation research capabilities, these two major initiatives have thus far largely progressed in parallel. In this opinion piece, we argue that they should be considered as complementary, synergistic initiatives whereby the creation of learning health systems infrastructure can support and catalyse the delivery of precision medicine that maximises the benefits and minimises the risks associated with treatments for individual patients. We illustrate this synergy by considering the example of treatments for asthma, which is now recognised as an umbrella term for a heterogeneous group of related conditions.
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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.