SynthesisJournal of the American Medical Informatics Association : JAMIA2023
Electronic health record data quality assessment and tools: a systematic review.
Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
87 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Predictive Value of Machine Learning for Poststroke Mortality Risk: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Data quality assessment in healthcare, dimensions, methods and tools: a systematic review.BMC medical informatics and decision making · 2025Pooled it
- Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: 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
- Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial.Nature medicine · 2025Trial
- A Patient Simulation Framework for Risk Assessment of Conversational Health Care AI: Development and Evaluation Study.JMIR AI · 2026Article
- Clinician Trust and Human Factors in AI-Enabled Clinical Decision Support in Acute Care: Mixed Methods Study.JMIR human factors · 2026Article
- Spatial bias in quality of estimated delivery date records in the electronic health record.JAMIA open · 2026Article
- Comparison of the Victorian emergency minimum dataset (VEMD) human intent coding descriptor to medical records in discriminating suicide attempts for emergency presentations to Eastern Health Psychiatric Triage, Victoria, Australia.Health information management : journal of the Health Information Management Association of Australia · 2026Article
- Primary care physician documentation in oncology electronic health records: prognostic marker or immortal-time bias?ESMO real world data and digital oncology · 2026Article
- Manifestations and Potential Consequences of Information Distortion in Electronic Nursing Records: Qualitative Study.JMIR nursing · 2026Article
- HealthFlow: automating electronic health record analysis via a strategically self-evolving multi-agent framework.NPJ digital medicine · 2026Article
- Assessment of Electronic Clinical Monitoring Systems in the Pediatric Intensive Care Unit: Prospective Concordance Study.JMIR formative research · 2026Article
- Completeness of Paper-Based Clinical Records as a Dimension of Clinical Record Quality in Selected Public Hospitals in Mpumalanga and Eastern Cape Provinces, South Africa.Medical sciences (Basel, Switzerland) · 2026Article
- Measuring healthcare quality in police custody: the development of quality indicators through expert consultations in the Netherlands.Health & justice · 2026Article
- Beyond seizures: A multidimensional approach to non-seizure issues in Lennox-Gastaut syndrome. Insights from Italian experts.Epilepsia open · 2026Review
- Development and evaluation of the electronic frailty index+ (eFI+) tool for older people: prognostic prediction modelling with integrated decision curve and health economic analysis.Health technology assessment (Winchester, England) · 2026Observational
- Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.Statistics in medicine · 2026Article
- Implementing a quality assurance and maintenance framework for standardized clinical terminology data in a multi-institutional setting.BMC medical informatics and decision making · 2026Article
- Information Distortion in Electronic Health Records: A Concept Analysis.Journal of advanced nursing · 2026Review
27 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveWe extended a 2013 literature review on electronic health record (EHR) data quality assessment approaches and tools to determine recent improvements or changes in EHR data quality assessment methodologies. MATERIALS AND
methodsWe completed a systematic review of PubMed articles from 2013 to April 2023 that discussed the quality assessment of EHR data. We screened and reviewed papers for the dimensions and methods defined in the original 2013 manuscript. We categorized papers as data quality outcomes of interest, tools, or opinion pieces. We abstracted and defined additional themes and methods though an iterative review process.
resultsWe included 103 papers in the review, of which 73 were data quality outcomes of interest papers, 22 were tools, and 8 were opinion pieces. The most common dimension of data quality assessed was completeness, followed by correctness, concordance, plausibility, and currency. We abstracted conformance and bias as 2 additional dimensions of data quality and structural agreement as an additional methodology. DISCUSSION: There has been an increase in EHR data quality assessment publications since the original 2013 review. Consistent dimensions of EHR data quality continue to be assessed across applications. Despite consistent patterns of assessment, there still does not exist a standard approach for assessing EHR data quality.
conclusionGuidelines are needed for EHR data quality assessment to improve the efficiency, transparency, comparability, and interoperability of data quality assessment. These guidelines must be both scalable and flexible. Automation could be helpful in generalizing this process.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.