ReviewJAMIA open2020
Learning health systems, embedded research, and data standards-recommendations for healthcare system leaders.
Review in JAMIA open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- A scoping review of outcome and outcome measure sets for adults with spinal cord injury, stroke, and traumatic brain injury.Journal of rehabilitation medicine · 2026Article
- Community Provider Perspectives on an Autism Learning Health Network: A Qualitative Study.Journal of autism and developmental disorders · 2026Article
- Development of Computable Guidelines: GIN McMaster Guideline Development Checklist Extension for Computable Guidelines.Clinical and public health guidelines · 2025Article
- Achieving a rapid and continuous learning health system requires socio-technical harmonization of research and operational IT.npj health systems · 2025Review
- Enhancing data practices for Whole Health: Strategies for a transformative future.Learning health systems · 2024Article
- Article
- Co-implementation: collaborative and concurrent approaches to advance embedded implementation in the health sciences.Frontiers in health services · 2023Article
- Embedded Research: Possibilities for Learning Health Systems Comment on "'We're Not Providing the Best Care if We are Not on the Cutting Edge of Research': A Research Impact Evaluation at a Regional Australian Hospital and Health Service".International journal of health policy and management · 2023Article
- Advancing Academic Capacity in Physical and Rehabilitation Medicine to Strengthen Rehabilitation in Health Systems Worldwide: A Joint Effort by the European Academy of Rehabilitation Medicine, the Association of Academic Physiatrists, and the International Society of Physical and Rehabilitation Medicine.American journal of physical medicine & rehabilitation · 2022Article
- Advancing Academic Capacity in Physical and Rehabilitation Medicine to Strengthen Rehabilitation in Health Systems Worldwide: A Joint Effort by the European Academy of Rehabilitation Medicine, the Association of Academic Physiatrists, and the International Society of Physical and Rehabilitation Medicine.Journal of rehabilitation medicine · 2022Article
- Ethical challenges of prospective clinical trials during the COVID-19 pandemic.Expert review of anti-infective therapy · 2022Article
- Enhancing the use of EHR systems for pragmatic embedded research: lessons from the NIH Health Care Systems Research Collaboratory.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Cultivating informatics capacity for multimorbidity: A learning health systems use case.Journal of multimorbidity and comorbidityArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Learning health systems that conduct embedded research require infrastructure for the seamless adoption of clinical interventions; this infrastructure should integrate with electronic health record (EHR) systems and enable the use of existing data. As purchasers of EHR systems, and as critical partners, sponsors, and consumers of embedded research, healthcare organizations should advocate for EHR system functionality and data standards that will increase the capacity for embedded research in clinical settings. As stakeholders and proponents for EHR data standards, healthcare leaders should support standards development and promote local adoption to support quality healthcare, continuous improvement, innovative data-driven interventions, and the generation of new knowledge. "Standards-enabled" health systems will be positioned to address emergent and critical research questions, including those related to coronavirus disease 2019 (COVID-19) and future public health threats. The role of a data standards officer or champion could enable health systems to realize this goal.
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.