Mobilizing health equity through Computable Biomedical Knowledge (CBK): a call to action to the library, information sciences, and health informatics communities
DOI:
https://doi.org/10.5195/jmla.2024.1836Keywords:
Health Equity, Health Inequalities, Health Status Disparities, Computing Methodologies, Algorithms, Artificial Intelligence, Machine Learning, Library Science, Information ScienceAbstract
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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Copyright (c) 2023 Nancy J. Allee, Gerald Perry, Gabriel R. Rios, Joshua C. Rubin , Vignesh Subbian, Deborah E. Swain, Terrie R. Wheeler
This work is licensed under a Creative Commons Attribution 4.0 International License.
