Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions

This report presents a comprehensive case study for the responsible integration of artificial intelligence (AI) into healthcare settings. Recognizing the rapid advancement of AI technologies and their potential to transform healthcare delivery, we propose a set of guidelines emphasizing fairness, ro...

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Veröffentlicht in:NPJ digital medicine Jg. 7; H. 1; S. 348 - 6
Hauptverfasser: Saenz, Agustina D., Centi, Amanda, Ting, David, You, Jacqueline G., Landman, Adam, Mishuris, Rebecca G.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 30.11.2024
Nature Publishing Group
Nature Portfolio
Schlagworte:
631/114/1305
692/700/1538
Accountability
Adaptation
Biomedicine
Biotechnology
Case studies
Clinical practice guidelines
Collaboration
Compliance
Demographics
Documentation
Equity
FDA approval
Generative artificial intelligence
Large language models
Medicine
Medicine & Public Health
Perspective
Privacy
Teams
Transparency
Usability
ISSN:2398-6352, 2398-6352
Online-Zugang:Volltext
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Zusammenfassung:This report presents a comprehensive case study for the responsible integration of artificial intelligence (AI) into healthcare settings. Recognizing the rapid advancement of AI technologies and their potential to transform healthcare delivery, we propose a set of guidelines emphasizing fairness, robustness, privacy, safety, transparency, explainability, accountability, and benefit. Through a multidisciplinary collaboration, we developed and operationalized these guidelines within a healthcare system, highlighting a case study on ambient documentation to demonstrate the practical application and challenges of implementing generative AI in clinical environments. Our proposed framework ensures continuous monitoring, evaluation, and adaptation of AI technologies, addressing ethical considerations and enhancing patient care. This work contributes to the discourse on responsible AI use in healthcare, offering a blueprint for institutions to navigate the complexities of AI integration responsibly and effectively, thus promoting better, more equitable healthcare outcomes.
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ISSN:2398-6352
2398-6352
DOI:10.1038/s41746-024-01300-8