ArticleEGEMS (Washington, DC)2015
A Digital Architecture for a Network-Based Learning Health System: Integrating Chronic Care Management, Quality Improvement, and Research.
Article in EGEMS (Washington, DC), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled 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.
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
38 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Learning health systems using data to drive healthcare improvement and impact: a systematic review.BMC health services research · 2021Pooled it
- Electronic health record-based disease surveillance systems: A systematic literature review on challenges and solutions.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Moving from a registry to a learning health system: A case study of a Dutch prostate cancer registry.Learning health systems · 2025Article
- An agent-based model to advance the science of collaborative learning health systems.PloS one · 2025Article
- The California collaborative network to promote data driven care and improve outcomes in early psychosis (EPI-CAL) project: rationale, background, design and methodology.BMC psychiatry · 2024Article
- Diversity in Combating Complex, Chronic, and Costly Conditions Using a Learning Health System Approach: A Scoping Review.The Permanente journal · 2024Article
- Clinical Research Informatics: a Decade-in-Review.Yearbook of medical informatics · 2024Review
- Improving Outcomes of Pediatric Lupus Care Delivery With Provider Goal-Setting Activities and Multidisciplinary Care Models.Arthritis care & research · 2023Article
- Establishment of a Public Mental Health Database for Research Purposes in the Ferrara Province: Development and Preliminary Evaluation Study.JMIR medical informatics · 2023Article
- Evaluating a learning health system initiative: Lessons learned during COVID-19 in Saskatchewan, Canada.Learning health systems · 2023Article
- Establishing a Cystic Fibrosis Learning Network: Interventions to promote collaboration and data-driven improvement at scale.Learning health systems · 2023Article
- The SHOnet learning health system: Infrastructure for continuous learning in pediatric rehabilitation.Learning health systems · 2022Article
- Clinical Decision Support Stewardship: Best Practices and Techniques to Monitor and Improve Interruptive Alerts.Applied clinical informatics · 2022Review
- Building responsive governance for learning networks.Learning health systems · 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
- The role of co-production in Learning Health Systems.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2021Review
- A science of collaborative learning health systems.Learning health systems · 2021Article
- A maturity grid assessment tool for learning networks.Learning health systems · 2021Article
- Measuring engagement in a collaborative learning health system: The case of ImproveCareNow.Learning health systems · 2021Article
- Leaders' perspectives on learning health systems: a qualitative study.BMC health services research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
introductionWe collaborated with the ImproveCareNow Network to create a proof-of-concept architecture for a network-based Learning Health System. This collaboration involved transitioning an existing registry to one that is linked to the electronic health record (EHR), enabling a "data in once" strategy. We sought to automate a series of reports that support care improvement while also demonstrating the use of observational registry data for comparative effectiveness research. DESCRIPTION OF ARCHITECTURE: We worked with three leading EHR vendors to create EHR-based data collection forms. We automated many of ImproveCareNow's analytic reports and developed an application for storing protected health information and tracking patient consent. Finally, we deployed a cohort identification tool to support feasibility studies and hypothesis generation. There is ongoing uptake of the system. To date, 31 centers have adopted the EHR-based forms and 21 centers are uploading data to the registry. Usage of the automated reports remains high and investigators have used the cohort identification tools to respond to several clinical trial requests. SUGGESTIONS FOR FUTURE USE: The current process for creating EHR-based data collection forms requires groups to work individually with each vendor. A vendor-agnostic model would allow for more rapid uptake. We believe that interfacing network-based registries with the EHR would allow them to serve as a source of decision support. Additional standards are needed in order for this vision to be achieved, however.
conclusionsWe have successfully implemented a proof-of-concept Learning Health System while providing a foundation on which others can build. We have also highlighted opportunities where sponsors could help accelerate progress.
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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.