Common data quality elements for health information systems: a systematic review

• Published in: BMC medical informatics and decision making Vol. 24; no. 1; pp. 243 - 9
• Main Authors: Ghalavand, Hossein, Shirshahi, Saied, Rahimi, Alireza, Zarrinabadi, Zarrin, Amani, Fatemeh
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 02.09.2024; BioMed Central; BMC
• Subjects: Accuracy; Citation management software; Common Data Elements - standards; Completeness; Data Accuracy; Data quality; Data search; Health Information System; Health Information Systems - standards; Humans; Information management; Information processing; Information sources; Information systems; Keywords; Knowledge management; Literature reviews; Medical informatics; Medical research; Qualitative analysis; Search engines; Search methods; Search strategies; Systematic Review; Health Information System; Systematic review; Data quality
• ISSN: 1472-6947; 1472-6947
• DOI: 10.1186/s12911-024-02644-7

Data quality in health information systems has a complex structure and consists of several dimensions. This research conducted for identify Common data quality elements for health information systems. A literature review was conducted and search strategies run in Web of Knowledge, Science Direct, Emerald, PubMed, Scopus and Google Scholar search engine as an additional source for tracing references. We found 760 papers, excluded 314 duplicates, 339 on abstract review and 167 on full-text review; leaving 58 papers for critical appraisal. Current review shown that 14 criteria are categorized as the main dimensions for data quality for health information system include: Accuracy, Consistency, Security, Timeliness, Completeness, Reliability, Accessibility, Objectivity, Relevancy, Understandability, Navigation, Reputation, Efficiency and Value- added. Accuracy, Completeness, and Timeliness, were the three most-used dimensions in literature. At present, there is a lack of uniformity and potential applicability in the dimensions employed to evaluate the data quality of health information system. Typically, different approaches (qualitative, quantitative and mixed methods) were utilized to evaluate data quality for health information system in the publications that were reviewed. Consequently, due to the inconsistency in defining dimensions and assessing methods, it became imperative to categorize the dimensions of data quality into a limited set of primary dimensions.