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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Vydané v:NPJ digital medicine Ročník 7; číslo 1; s. 348 - 6
Hlavní autori: Saenz, Agustina D., Centi, Amanda, Ting, David, You, Jacqueline G., Landman, Adam, Mishuris, Rebecca G.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Nature Publishing Group UK 30.11.2024
Nature Publishing Group
Nature Portfolio
Predmet:
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
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Abstract 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.
AbstractList Abstract 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.
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.
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.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.
ArticleNumber 348
Author Saenz, Agustina D.
Centi, Amanda
Mishuris, Rebecca G.
Ting, David
Landman, Adam
You, Jacqueline G.
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crossref_primary_10_1038_s41746_025_01614_1
crossref_primary_10_1177_00258172251332485
crossref_primary_10_1186_s12916_025_04076_0
crossref_primary_10_1093_jamia_ocaf147
Cites_doi 10.1038/s41591-021-01614-0
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10.7326/M23-2772
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10.1016/S2589-7500(20)30199-0
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10.1038/s41591-022-01894-0
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10.1186/s13073-021-00968-x
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2024. The Author(s).
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Snippet This report presents a comprehensive case study for the responsible integration of artificial intelligence (AI) into healthcare settings. Recognizing the rapid...
Abstract This report presents a comprehensive case study for the responsible integration of artificial intelligence (AI) into healthcare settings. Recognizing...
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Adaptation
Biomedicine
Biotechnology
Case studies
Clinical practice guidelines
Collaboration
Compliance
Demographics
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Equity
FDA approval
Generative artificial intelligence
Large language models
Medicine
Medicine & Public Health
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Transparency
Usability
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