Journal article
Eliminating Algorithmic Racial Bias in Clinical Decision Support Algorithms: Use Cases from the Veterans Health Administration
Health equity, Vol.7(1), pp.809-816
2023
DOI: 10.1089/heq.2023.0037
PMCID: PMC10698768
PMID: 38076213
Abstract
The Veterans Health Administration uses equity- and evidence-based principles to examine, correct, and eliminate use of potentially biased clinical equations and predictive models. We discuss the processes, successes, challenges, and next steps in four examples. We detail elimination of the race modifier for estimated kidney function and discuss steps to achieve more equitable pulmonary function testing measurement. We detail the use of equity lenses in two predictive clinical modeling tools: Stratification Tool for Opioid Risk Mitigation (STORM) and Care Assessment Need (CAN) predictive models. We conclude with consideration of ways to advance racial health equity in clinical decision support algorithms.
Details
- Title: Subtitle
- Eliminating Algorithmic Racial Bias in Clinical Decision Support Algorithms: Use Cases from the Veterans Health Administration
- Creators
- Justin M List - Yale School of MedicinePaul Palevsky - University of Pittsburgh School of MedicineSuzanne Tamang - Stanford University School of MedicineSusan Crowley - VA Connecticut Healthcare SystemDavid Au - VA Puget Sound Health Care SystemWilliam C Yarbrough - VA North Texas Health Care System, Dallas, Texas, USAAmol S Navathe - University of PennsylvaniaCraig Kreisler - Veterans Health AdministrationRavi B Parikh - University of PennsylvaniaJessica Wang-Rodriguez - University of California - San Diego School of MedicineJ Stacey Klutts - University of IowaPaul Conlin - Harvard Medical SchoolLeonard Pogach - Department of Veterans Affairs, New Jersey Health Care System, East Orange, New Jersey, USAEsther Meerwijk - Department of Veterans Affairs, Palo Alto, California, USAErnest Moy - VA Office of Health Equity, Washington, District of Columbia, USA
- Resource Type
- Journal article
- Publication Details
- Health equity, Vol.7(1), pp.809-816
- DOI
- 10.1089/heq.2023.0037
- PMID
- 38076213
- PMCID
- PMC10698768
- NLM abbreviation
- Health Equity
- eISSN
- 2473-1242
- Language
- English
- Date published
- 2023
- Academic Unit
- Pathology
- Record Identifier
- 9984530375602771
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