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Toward an artificial intelligence code of conduct for health and healthcare: implications for the biomedical informatics community

2024/12/10 by Philip Payne, Kevin B. Johnson, Thomas M. Maddox +5 · 1 voice
Health Professions · Medicine · Social Sciences · #Artificial Intelligence in Healthcare and Education #Electronic Health Records Systems #Ethics and Social Impacts of AI

paper · doi:10.1093/jamia/ocae306

openalex publication_date 2024/12/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Abstract

INTRODUCTION: 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. APPROACH: 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. RECOMMENDATIONS: 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.

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