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Article

Measuring the Impact of Data Quality and Computable Phenotypes on Potential Racial Disparities in Predicting Healthcare Utilization Among Type 2 Diabetes Populations.

Journal of racial and ethnic health disparities - 1 Aug 2026

Sood Priyanka D, Liu Star, Pandya Chintan, Kalyani Rita R, Lehmann Harold P, Kharrazi Hadi

Abstract excerpt

INTRODUCTION: Type 2 diabetes (T2D) computable phenotypes identify different denominator populations for downstream tasks. Differences in racial composition could introduce bias and lead to disparate disease management. The objective of this study was to assess potential racial disparities in predicting T2D healthcare utilization introduced by data quality and computable phenotypes. METHODS: Four published and...

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Black or African American
Diabetes Mellitus, Type 2
Electronic Health Records
Healthcare Disparities

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 40425977
DOI: 10.1007/s40615-025-02485-8
PMCID: PMC13167075

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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