Bridging the governance gap in health artificial intelligence: integrating nursing perspectives into the National Academy of Medicine Artificial Intelligence Code of Conduct.

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Bibliographic Details
Title: Bridging the governance gap in health artificial intelligence: integrating nursing perspectives into the National Academy of Medicine Artificial Intelligence Code of Conduct.
Authors: Cary MP Jr; Duke University School of Nursing, Durham, NC 27710, United States., Russell RG; Vanderbilt University School of Nursing, Nashville, TN 37203, United States., Silcox C; Duke-Margolis Institute for Health Policy, Washington, DC 20001, United States., Lytle KS; Duke University Health System, Durham, NC 27710, United States., Lehmann LS; VA New England Healthcare System, Bedford, MA 01730, United States.; Harvard Medical School, Boston, MA 02115, United States., Hightower M; Equality AI, Park City, UT 84060, United States., Economou-Zavlanos N; Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27710, United States., Guilamo-Ramos V; Johns Hopkins School of Nursing, Baltimore, MD 21205, United States.
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2026 May 01; Vol. 33 (5), pp. 1077-1080.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1527-974X
DOI:10.1093/jamia/ocaf224