Automating Electronic Health Record Data Quality Assessment

Ozonze, Obinwa and Scott, Philip and Hopgood, Adrian A. (2023) Automating Electronic Health Record Data Quality Assessment. Journal of Medical Systems, 47 (1). ISSN 1573-689X

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Information systems such as Electronic Health Record (EHR) systems are susceptible to data quality (DQ) issues. Given the growing importance of EHR data, there is an increasing demand for strategies and tools to help ensure that available data are fit for use. However, developing reliable data quality assessment (DQA) tools necessary for guiding and evaluating improvement efforts has remained a fundamental challenge. This review examines the state of research on operationalising EHR DQA, mainly automated tooling, and highlights necessary considerations for future implementations. We reviewed 1841 articles from PubMed, Web of Science, and Scopus published between 2011 and 2021. 23 DQA programs deployed in real-world settings to assess EHR data quality (n = 14), and a few experimental prototypes (n = 9), were identified. Many of these programs investigate completeness (n = 15) and value conformance (n = 12) quality dimensions and are backed by knowledge items gathered from domain experts (n = 9), literature reviews and existing DQ measurements (n = 3). A few DQA programs also explore the feasibility of using data-driven techniques to assess EHR data quality automatically. Overall, the automation of EHR DQA is gaining traction, but current efforts are fragmented and not backed by relevant theory. Existing programs also vary in scope, type of data supported, and how measurements are sourced. There is a need to standardise programs for assessing EHR data quality, as current evidence suggests their quality may be unknown.

Item Type: Article
Additional Information: ** From Springer Nature via Jisc Publications Router ** History: received 10-09-2021; accepted 15-11-2022; registration 16-11-2022; pub-electronic 13-02-2023; online 13-02-2023; collection 12-2023. ** Licence for this article:
Uncontrolled Keywords: Review, Electronic health record (EHR), Data quality, Data quality assessment, Automation
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Institutes and Academies > Institute of Management and Health > Sport Health and Outdoor Education
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 17 Feb 2023 13:22
Last Modified: 16 Nov 2023 15:15

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