ArticleLearning health systems2025
Clinical quality registries: Establishing the socio-technical infrastructure for learning health systems.
Article in Learning health systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Impacts of Multidisciplinary Lung Cancer Meeting Presentation in a Clinical Quality Registry.JTO clinical and research reports · 2026Article
- Improving care for older patients living with frailty: a collaborative approach to creating the DANFRAIL quality database.European geriatric medicine · 2026Article
- Utilization of Lung Cancer Registries in Learning Health Systems for Health Care Improvement.JCO clinical cancer informatics · 2025Review
- Clinical quality registries: Establishing the socio-technical infrastructure for learning health systems.Learning health systems · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Clinical quality registries (CQR) systematically monitor and provide feedback on the appropriateness and effectiveness of health care within specific clinical domains, collecting data about medical care processes and outcomes, and providing benchmarked performance reports to health care providers for the purpose of driving improvements in safety and quality. Aims: The successful development of a learning infrastructure requires the alignment of people, technologies, policies, and processes, brought together by shared needs and a culture of continuous quality improvement. The creation and description of such infrastructure is likely to successfully support the delivery of services critical to continuous quality improvement initiatives. Materials and Methods: We aimed to describe the construction and impacts of healthcare improvement infrastructure within CQRs. Results: Socio-technical infrastructure comprises participants that contribute to the design, evaluation, reporting and dissemination of quality improvement activities: employing effective and timely data acquisition, describing healthcare processes and outcomes; supported by directed policy process and supportive organisations. Review of CQR function identifies positive impacts on healthcare utilisation, improved clinical outcomes and significant improvement in survival supported by cost effective investment. Discussion: Quality improvement frameworks and strategies have been developed to drive CQRs towards international best practice in learning health system structure for data collection and reporting; delivering efficiency and interoperability in data collection and exchange; promoting standardised approaches to CQR design. Conclusion: Clinical quality registries have demonstrated significant national impacts in quality improvement in high burden disease domains. These registries rely on the construction and resourcing of socio-technical infrastructures that support quality improvement.
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.