{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T10:38:56Z","timestamp":1759401536849,"version":"3.37.3"},"reference-count":15,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T00:00:00Z","timestamp":1733788800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Introduction<\/jats:title>\n                  <jats:p>The rapid advancement of artificial intelligence (AI) has led to significant transformations in health and healthcare. As AI technologies continue to evolve, there is an urgent need to establish a unified framework that guides the design, implementation, and evaluation of AI-driven interventions across individual and population health contexts.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Approach<\/jats:title>\n                  <jats:p>In response to this need, the National Academy of Medicine (NAM) has initiated the development of an AI code of conduct (AICC) through its Digital Health Action Collaborative. This code of conduct is grounded in shared principles and commitments, aiming to actualize ethical and effective AI practices within the broader health and healthcare ecosystem. Given its specialized expertise and insight, the biomedical informatics (BMI) community plays a pivotal role in shaping and applying these guidelines.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Recommendations<\/jats:title>\n                  <jats:p>We, as members of the AICC Steering Committee and the NAM Digital Health Action Collaborative, urge BMI educators, researchers, and practitioners to engage actively in refining and implementing the AICC. This involvement is critical to ensuring that the code is robust, applicable, and continuously improved to meet the evolving challenges facing health and healthcare.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocae306","type":"journal-article","created":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T04:09:58Z","timestamp":1733890198000},"page":"408-412","source":"Crossref","is-referenced-by-count":2,"title":["Toward an artificial intelligence code of conduct for health and healthcare: implications for the biomedical informatics community"],"prefix":"10.1093","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9532-2998","authenticated-orcid":false,"given":"Philip R O","family":"Payne","sequence":"first","affiliation":[{"name":"Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis School of Medicine , St. Louis, MO 63110,","place":["United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kevin B","family":"Johnson","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine , Philadelphia, PA 19104,","place":["United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas M","family":"Maddox","sequence":"additional","affiliation":[{"name":"Healthcare Innovation Lab, BJC HealthCare and Washington University in St. Louis School of Medicine , St. Louis, MO 63110,","place":["United States"]},{"name":"Division of Cardiology, Department of Medicine, Washington University in St. Louis School of Medicine , St. Louis, MO 63110,","place":["United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7733-0847","authenticated-orcid":false,"given":"Peter J","family":"Embi","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203,","place":["United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenneth D","family":"Mandl","sequence":"additional","affiliation":[{"name":"Computational Health Informatics Program, Boston Children\u2019s Hospital , Boston, MA 02115,","place":["United States"]},{"name":"Department of Biomedical Informatics, Harvard Medical School , Boston, MA 02115,","place":["United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deven","family":"McGraw","sequence":"additional","affiliation":[{"name":"Citizen Health , San Francisco, CA 94112,","place":["United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suchi","family":"Saria","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Johns Hopkins University Whiting School of Engineering , Baltimore, MD 21218,","place":["United States"]},{"name":"Department of Health 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