Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions
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 fai...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-11-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-024-01300-8 |
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| _version_ | 1832571240001306624 |
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| author | Agustina D. Saenz Mass General Brigham AI Governance Committee Amanda Centi David Ting Jacqueline G. You Adam Landman Rebecca G. Mishuris |
| author_facet | Agustina D. Saenz Mass General Brigham AI Governance Committee Amanda Centi David Ting Jacqueline G. You Adam Landman Rebecca G. Mishuris |
| author_sort | Agustina D. Saenz |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-686a2af01c6b408c92a23610bfdc4e51 |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-686a2af01c6b408c92a23610bfdc4e512025-02-02T12:43:49ZengNature Portfolionpj Digital Medicine2398-63522024-11-01711610.1038/s41746-024-01300-8Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutionsAgustina D. Saenz0Mass General Brigham AI Governance CommitteeAmanda Centi1David Ting2Jacqueline G. You3Adam Landman4Rebecca G. Mishuris5Mass General BrighamMass General BrighamMass General BrighamMass General BrighamMass General BrighamMass General BrighamAbstract 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.https://doi.org/10.1038/s41746-024-01300-8 |
| spellingShingle | Agustina D. Saenz Mass General Brigham AI Governance Committee Amanda Centi David Ting Jacqueline G. You Adam Landman Rebecca G. Mishuris Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions npj Digital Medicine |
| title | Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions |
| title_full | Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions |
| title_fullStr | Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions |
| title_full_unstemmed | Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions |
| title_short | Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions |
| title_sort | establishing responsible use of ai guidelines a comprehensive case study for healthcare institutions |
| url | https://doi.org/10.1038/s41746-024-01300-8 |
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