Awareness of Racial and Ethnic Bias and Potential Solutions to Address Bias With Use of Health Care Algorithms

Bibliographic Data

ID15808475
AuthorsAnjali Jain (0000-0003-4256-6515, Agency for Healthcare Research and Quality, corresponding author), Jeneve R Brooks (0000-0002-4222-5721, University of Houston), Jasmin R Brooks (University of Houston), Cleothia C Alford (Agency for Healthcare Research and Quality), Christine S Chang (0000-0001-6915-2967, Agency for Healthcare Research and Quality), Christine Chang (0000-0003-4871-6617, Agency for Healthcare Research and Quality), Nora Mueller (0000-0002-8456-2339), Nora M Mueller (0000-0002-3853-7861, Agency for Healthcare Research and Quality), Craig A Umscheid (0000-0003-1853-1013, Agency for Healthcare Research and Quality), Arlene S Bierman (0000-0003-4792-9020, Agency for Healthcare Research and Quality)
Year2023
Volume4
Issue6
Pagese231197-e231197
Publication date2023-06-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJAMA Health Forum (JOURNAL)
Journal identifiersISSN: 2689-0186 • E-ISSN: 2689-0186
PublisherAmerican Medical Association (PUBLISHER • US)
DOI10.1001/jamahealthforum.2023.1197
PMID37266959
OpenAlexW4379094721
LanguageEN
Citations received4
References cited24

This qualitative study found that participants perceived widespread and increasing use of algorithms in health care and lack of oversight, potentially exacerbating racial and ethnic inequities. Increasing awareness for clinicians and patients and standardized, transparent approaches for algorithm development and implementation may be needed to address racial and ethnic biases related to algorithms

Affect (linguistics · Algorithm · Ethnic group · Health care · Health information technology · Political science · Qualitative research · Sociology · Computer Science · COVID-19 and healthcare impacts · Global Cancer Incidence and Screening · Healthcare cost, quality, practices · Medicine · Psychology

Tools

Open DOIOpen Access