Mobilizing health equity through Computable Biomedical Knowledge

Mobilizing health equity through Computable Biomedical Knowledge

The twin pandemics of COVID-19 and structural racism brought into focus health disparities and disproportionate impacts of disease on communities of color. Health equity has subsequently emerged as a priority. Recognizing that the future of health care will be informed by advanced information techno...

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Bibliographic Details
Published in:Journal of the Medical Library Association Vol. 112; no. 2; p. 158
Main Authors: Swain, Deborah E, Wheeler, Terrie R, Allee, Nancy J, Subbian, Vignesh, Rios, Gabriel R, Perry, Gerald, Rubin, Joshua C
Format: Journal Article
Language:English
Published: Medical Library Association 01-04-2024
Subjects:
Artificial intelligence
Epidemics
Library science
Machine learning
Medical informatics
Racism
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Summary:The twin pandemics of COVID-19 and structural racism brought into focus health disparities and disproportionate impacts of disease on communities of color. Health equity has subsequently emerged as a priority. Recognizing that the future of health care will be informed by advanced information technologies including artificial intelligence (AI), machine learning, and algorithmic applications, the authors argue that to advance towards states of improved health equity, health information professionals need to engage in and encourage the conduct of research at the intersections of health equity, health disparities, and computational biomedical knowledge (CBK) applications. Recommendations are provided with a means to engage in this mobilization effort. Keywords: Health Equity; Health Inequalities; Health Status Disparities; Computing Methodologies; Algorithms; Artificial Intelligence; Machine Learning; Library Science; Information Science
ISSN:1536-5050