ArticleJournal of the American Medical Informatics Association : JAMIA2021
Clinical data sharing improves quality measurement and patient safety.
Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed.
- A multi-site randomized trial of a clinical decision support intervention to improve problem list completeness.Journal of the American Medical Informatics Association : JAMIA · 2023Trial
- Patient-governed agentic health data exchange.npj health systems · 2026Review
- Exploring nurses' documentation prioritization strategies to alleviate EHR documentation burden: a phenomenological study.JAMIA open · 2026Article
- Article
- Staff perspectives on a novel pediatric developmental screening and referral program in a community health center.Frontiers in pediatrics · 2026Article
- A qualitative exploration of multi-level factors that support effective community health worker-social worker collaboration.BMC health services research · 2025Article
- Goal alignment and unintended consequences of accountable care: How the structure of Oregon's Medicaid coordinated care model shapes health plan-clinic partnerships.Journal of clinical and translational science · 2025Article
- Health Information Exchange as a Strategy for Advancing the Modernization of Healthcare Ecosystem in the Emirate of Dubai.Advances in health information science and practice · 2025Article
- Implementation of an integrated care pathway for severe aortic stenosis: a prospective cohort study of clinical profiles, safety, and outcomes.Frontiers in cardiovascular medicine · 2025Article
- Building Capacity of Community Health Centers to Improve the Provision of Postpartum Care Services Through Data-Driven Health Information Technology and Innovation.Journal of women's health (2002) · 2024Article
- Review
- Health Information Exchange: Understanding the Policy Landscape and Future of Data Interoperability.Yearbook of medical informatics · 2023Review
- Applying requisite imagination to safeguard electronic health record transitions.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Knowledge and insights from a maturing international clinical quality registry.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Utility of an Electronic Health Record Report to Identify Patients with Delays in Testing for Poorly Controlled Diabetes.Joint Commission journal on quality and patient safetyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAccurate and robust quality measurement is critical to the future of value-based care. Having incomplete information when calculating quality measures can cause inaccuracies in reported patient outcomes. This research examines how quality calculations vary when using data from an individual electronic health record (EHR) and longitudinal data from a health information exchange (HIE) operating as a multisource registry for quality measurement. MATERIALS AND
methodsData were sampled from 53 healthcare organizations in 2018. Organizations represented both ambulatory care practices and health systems participating in the state of Kansas HIE. Fourteen ambulatory quality measures for 5300 patients were calculated using the data from an individual EHR source and contrasted to calculations when HIE data were added to locally recorded data.
resultsA total of 79% of patients received care at more than 1 facility during the 2018 calendar year. A total of 12 994 applicable quality measure calculations were compared using data from the originating organization vs longitudinal data from the HIE. A total of 15% of all quality measure calculations changed (P < .001) when including HIE data sources, affecting 19% of patients. Changes in quality measure calculations were observed across measures and organizations. DISCUSSION: These results demonstrate that quality measures calculated using single-site EHR data may be limited by incomplete information. Effective data sharing significantly changes quality calculations, which affect healthcare payments, patient safety, and care quality.
conclusionsFederal, state, and commercial programs that use quality measurement as part of reimbursement could promote more accurate and representative quality measurement through methods that increase clinical data sharing.
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