ArticleApplied clinical informatics2020
A Rule-Based Data Quality Assessment System for Electronic Health Record Data.
Article in Applied clinical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.
What it found
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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
22 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Data quality assessment in healthcare, dimensions, methods and tools: a systematic review.BMC medical informatics and decision making · 2025Pooled it
- Challenges for Data Quality in the Clinical Data Life Cycle: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Electronic health record data quality assessment and tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2023Pooled it
- Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023Pooled it
- A Practical Approach to Assessing the Completeness of Electronic Health Records for Medical Research: Data Quality Study.JMIR medical informatics · 2026Article
- Design and evaluation of an automated pediatric acute lymphoblastic leukemia registry from clinical data warehouses.BMC medical informatics and decision making · 2026Article
- Process for Quality Management of Electronic Medical Records-Based Data: Case Study Using Real Colorectal Cancer Data.JMIR medical informatics · 2025Article
- A comparative analysis of privacy-preserving large language models for automated echocardiography report analysis.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Navigating electronic health record accuracy by examination of sex incongruent conditions.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Optimization of the Electronic Health Record for Research.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2023Article
- Assessment and Improvement of Drug Data Structuredness From Electronic Health Records: Algorithm Development and Validation.JMIR medical informatics · 2023Article
- Electronic health record data quality variability across a multistate clinical research network.Journal of clinical and translational science · 2023Article
- Development and clinical application of an electronic health record quality control system for pulmonary aspergillosis based on guidelines and natural language processing technology.Journal of thoracic disease · 2022Article
- Timing errors and temporal uncertainty in clinical databases-A narrative review.Frontiers in digital health · 2022Review
- Tailoring Rule-Based Data Quality Assessment to the Patient-Centered Outcomes Research Network (PCORnet) Common Data Model (CDM).AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- A statistical quality assessment method for longitudinal observations in electronic health record data with an application to the VA million veteran program.BMC medical informatics and decision making · 2021Article
- Data Quality Management in the Internet of Things.Sensors (Basel, Switzerland) · 2021Review
- Daily Care Information System Requirements: Professional Service-Driven Service Blueprint Approach.Applied clinical informatics · 2021Article
- Linking a Consortium-Wide Data Quality Assessment Tool with the MIRACUM Metadata Repository.Applied clinical informatics · 2021Article
- Linking Provider Specialty and Outpatient Diagnoses in Medicare Claims Data: Data Quality Implications.Applied clinical informatics · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveRule-based data quality assessment in health care facilities was explored through compilation, implementation, and evaluation of 63,397 data quality rules in a single-center case study to assess the ability of rules-based data quality assessment to identify data errors of importance to physicians and system owners.
methodsWe applied a design science framework to design, demonstrate, test, and evaluate a scalable framework with which data quality rules can be managed and used in health care facilities for data quality assessment and monitoring.
resultsWe identified 63,397 rules partitioned into 28 logic templates. A total of 819,683 discrepancies were identified by 4.5% of the rules. Nine out of 11 participating clinical and operational leaders indicated that the rules identified data quality problems and articulated next steps that they wanted to take based on the reported information. DISCUSSION: The combined rule template and knowledge table approach makes governance and maintenance of otherwise large rule sets manageable. Identified challenges to rule-based data quality monitoring included the lack of curated and maintained knowledge sources relevant to data error detection and lack of organizational resources to support clinical and operational leaders with investigation and characterization of data errors and pursuit of corrective and preventative actions. Limitations of our study included implementation within a single center and dependence of the results on the implemented rule set.
conclusionThis study demonstrates a scalable framework (up to 63,397 rules) with which data quality rules can be implemented and managed in health care facilities to identify data errors. The data quality problems identified at the implementation site were important enough to prompt action requests from clinical and operational leaders.
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