ArticleApplied clinical informatics2020
A Method to Improve Availability and Quality of Patient Race Data in an Electronic Health Record System.
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 15 papers, 2 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
15 citing papers in PubMed, 2 syntheses or guidelines pooled 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
- Race and Ethnicity Data in the Electronic Health Records: New Insights Through Comparison with American Community Survey Microdata.Journal of racial and ethnic health disparities · 2026Article
- Racial and Ethnic Variations in a Multi-Channel Psychiatric Emergency Services Program.Community mental health journal · 2026Article
- Racial Fairness of Individual- and Community-Level Proxies of Socioeconomic Status Among Birthing Parent-Child Dyads.Journal of racial and ethnic health disparities · 2025Article
- Article
- Recommendations to improve race identification in health records: A rapid scoping review.PloS one · 2025Article
- Understanding enterprise data warehouses to support clinical and translational research: impact, sustainability, demand management, and accessibility.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Epidemiology and prevalence of dementia and Alzheimer's disease in American Indians: Data from the Strong Heart Study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Psychiatric Boarding Patterns Among Publicly Insured Youths Evaluated by Mobile Crisis Teams Before and During the COVID-19 Pandemic.JAMA network open · 2023Article
- Improving Cancer Care Communication: Identifying Sociodemographic Differences in Patient Portal Secure Messages Not Authored by the Patient.Applied clinical informatics · 2023Article
- Long-Term Trends in Psychiatric Emergency Services Delivered by the Boston Emergency Services Team.Community mental health journal · 2023Article
- Implications of racial/ethnic perinatal health inequities on long-term neurodevelopmental outcomes and health services utilization.Seminars in perinatology · 2022Review
- Linking Provider Specialty and Outpatient Diagnoses in Medicare Claims Data: Data Quality Implications.Applied clinical informatics · 2021Article
- Development, implementation, and use of an "equity lens" integrated into an institutional quality scorecard.Journal of the American Medical Informatics Association : JAMIA · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundAlthough federal regulations mandate documentation of structured race data according to Office of Management and Budget (OMB) categories in electronic health record (EHR) systems, many institutions have reported gaps in EHR race data that hinder secondary use for population-level research focused on underserved populations. When evaluating race data available for research purposes, we found our institution's enterprise EHR contained structured race data for only 51% (1.6 million) of patients.
objectivesWe seek to improve the availability and quality of structured race data available to researchers by integrating values from multiple local sources.
methodsTo address the deficiency in race data availability, we implemented a method to supplement OMB race values from four local sources-inpatient EHR, inpatient billing, natural language processing, and coded clinical observations. We evaluated this method by measuring race data availability and data quality with respect to completeness, concordance, and plausibility.
resultsThe supplementation method improved race data availability in the enterprise EHR up to 10% for some minority groups and 4% overall. We identified structured OMB race values for more than 142,000 patients, nearly a third of whom were from racial minority groups. Our data quality evaluation indicated that the supplemented race values improved completeness in the enterprise EHR, originated from sources in agreement with the enterprise EHR, and were unbiased to the enterprise EHR.
conclusionImplementation of this method can successfully increase OMB race data availability, potentially enhancing accrual of patients from underserved populations to research studies.
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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.