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Mobilizing health equity through Computable Biomedical Knowledge (CBK): a call to action to the library, information sciences, and health informatics communities.
Allee, Nancy J; Perry, Gerald; Rios, Gabriel R; Rubin, Joshua C; Subbian, Vignesh; Swain, Deborah E; Wheeler, Terrie R.
Afiliación
  • Allee NJ; nallee@umich.edu, Director, Taubman Health Sciences Library & STEM, University of Michigan Library, Joint Faculty, Department of Learning Health Sciences, University of Michigan Medical School, University of Michigan, Ann Arbor, MI.
  • Perry G; jerryperry@arizona.edu, Associate Dean Emeritus, University Libraries, University of Arizona, Tucson, AZ.
  • Rios GR; grrios@iu.edu, Library Director, Ruth Lilly Medical Library, Indiana University School of Medicine, Indianapolis, IN.
  • Rubin JC; josh@joshcrubin.com, Program Officer for Learning Health System Initiatives, Department of Learning Health Sciences, University of Michigan Medical School, University of Michigan, Ann Arbor, MI.
  • Subbian V; vsubbian@arizona.edu, Associate Professor, College of Engineering, University of Arizona, Tucson, AZ.
  • Swain DE; dswain@nccu.edu, Professor, School of Library and Information Sciences, North Carolina Central University, Durham, NC.
  • Wheeler TR; tew2004@med.cornell.edu, Library Director, Samuel J. Wood Library, Weill Cornell Medicine, New York, NY.
J Med Libr Assoc ; 112(2): 158-163, 2024 Apr 01.
Article en En | MEDLINE | ID: mdl-39119159
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Informática Médica / Equidad en Salud / COVID-19 Límite: Humans Idioma: En Revista: J Med Libr Assoc / J. med. libr. assoc / Journal of the medical library association Asunto de la revista: BIBLIOTECONOMIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Informática Médica / Equidad en Salud / COVID-19 Límite: Humans Idioma: En Revista: J Med Libr Assoc / J. med. libr. assoc / Journal of the medical library association Asunto de la revista: BIBLIOTECONOMIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos