This paper is in the following e-collection/theme issue:

Digital Health Reviews (1724) Quality Improvement (294) Clinical Informatics (1325) Health Care Quality and Health Services Research (337) Electronic Health Records (1319) Big Data (307) mHealth for Data Collection and Research (1196) Digital Health Reporting Standards, Quality and Transparency in e-Research (132) Health Information Governance (39) Quality/Credibility of eHealth Information and Trust Issues (654)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57615, first published .
Data Quality–Driven Improvement in Health Care: Systematic Literature Review

Data Quality–Driven Improvement in Health Care: Systematic Literature Review

Data Quality–Driven Improvement in Health Care: Systematic Literature Review

Authors of this article:

Anthony Lighterness1 Author Orcid Image ;   Michael Adcock1 Author Orcid Image ;   Lauren Abigail Scanlon1 Author Orcid Image ;   Gareth Price2 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

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  1. Hubert P, Kasprzak J, Kazmaier L, Knaier L, Fey T, Heinemann V, Nasseh D. Is source data verification a valid tool to improve data quality of tumour documentation data? A critical assessment. Health Information Management Journal 2025 View
  2. Sanz Gómez S, Guija J, Giner L. Potential duplicate cases in the official suicide statistics reported by the Spanish National Statistics Institute (INE). Spanish Journal of Psychiatry and Mental Health 2025 View
  3. Azriani D, Agustian D, Zuhairini Y, Yulita I, Dhamayanti M. Prediction models for stunting at 2-years-old from Indonesian newborn population. BMC Pediatrics 2025;25(1) View
  4. Prybutok V, Prybutok G. Data-Driven Insights in Healthcare. Healthcare 2025;13(21):2658 View
  5. Wang J, Lin A, Huang Y, Li G, Chen T, Sun C, Qian W, Ren S, Wong H, Ding Y, Zhang L. Medical Data as a Key Asset in the Digital Health Era: A Framework for Challenges and Strategies. iMetaMed 2025 View