Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables

Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables

Abstract Background Systematic disparities in data collection within electronic health records (EHRs), defined as non-random patterns in the measurement and recording of clinical variables across demographic groups, can be reflective of underlying implicit bias and may affect patient outcome. Identi...

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Bibliographic Details
Main Authors: Junming Shi, Alan E. Hubbard, Nicholas Fong, Romain Pirracchio
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Bias detection
Critical care
Data completeness
Electronic health records (EHRs)
Health equity
Healthcare applications
Online Access:https://doi.org/10.1186/s12911-025-03058-9
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https://doi.org/10.1186/s12911-025-03058-9

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