Mobilizing health equity through Computable Biomedical Knowledge (CBK): a call to action to the library, information sciences, and health informatics communities

dc.contributor.authorAllee, Nancy J.
dc.contributor.authorPerry, Gerald
dc.contributor.authorRios, Gabriel R.
dc.contributor.authorRubin, Joshua C.
dc.contributor.authorSubbian, Vignesh
dc.contributor.authorSwain, Deborah E.
dc.contributor.authorWheeler, Terrie R.
dc.contributor.departmentRuth Lilly Medical Library, School of Medicine
dc.date.accessioned2024-10-15T09:23:22Z
dc.date.available2024-10-15T09:23:22Z
dc.date.issued2024
dc.description.abstractThe 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.
dc.eprint.versionFinal published version
dc.identifier.citationAllee NJ, Perry G, Rios GR, et al. Mobilizing health equity through Computable Biomedical Knowledge (CBK): a call to action to the library, information sciences, and health informatics communities. J Med Libr Assoc. 2024;112(2):158-163. doi:10.5195/jmla.2024.1836
dc.identifier.urihttps://hdl.handle.net/1805/43945
dc.language.isoen_US
dc.publisherPitt Open Library
dc.relation.isversionof10.5195/jmla.2024.1836
dc.relation.journalJournal of the Medical Library Association
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourcePMC
dc.subjectAlgorithms
dc.subjectArtificial intelligence
dc.subjectComputing methodologies
dc.subjectHealth equity
dc.subjectHealth inequalities
dc.subjectHealth status disparities
dc.subjectInformation science
dc.subjectLibrary science
dc.subjectMachine learning
dc.titleMobilizing health equity through Computable Biomedical Knowledge (CBK): a call to action to the library, information sciences, and health informatics communities
dc.typeArticle
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