Mobilizing health equity through Computable Biomedical Knowledge (CBK): a call to action to the library, information sciences, and health informatics communities.
Algorithms
Artificial Intelligence
Computing Methodologies
Health Equity
Health Inequalities
Health Status Disparities
Information Science
Library Science
Machine Learning
Journal
Journal of the Medical Library Association : JMLA
ISSN: 1558-9439
Titre abrégé: J Med Libr Assoc
Pays: United States
ID NLM: 101132728
Informations de publication
Date de publication:
01 Apr 2024
01 Apr 2024
Historique:
medline:
9
8
2024
pubmed:
9
8
2024
entrez:
9
8
2024
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 39119159
doi: 10.5195/jmla.2024.1836
pii: jmla.2024.1836
pmc: PMC11305479
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
158-163Informations de copyright
Copyright © 2024 Nancy J. Allee, Gerald Perry, Gabriel R.Rios, Joshua C. Rubin, Vignesh Subbian, Deborah E. Swain, Terrie R. Wheeler.