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Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research
The application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holist...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238382/ https://www.ncbi.nlm.nih.gov/pubmed/34219989 http://dx.doi.org/10.1007/s00146-021-01239-4 |
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author | Mirbabaie, Milad Hofeditz, Lennart Frick, Nicholas R. J. Stieglitz, Stefan |
author_facet | Mirbabaie, Milad Hofeditz, Lennart Frick, Nicholas R. J. Stieglitz, Stefan |
author_sort | Mirbabaie, Milad |
collection | PubMed |
description | The application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo of interdisciplinary research in academia on ethical considerations and dimensions of AI in hospitals. We found 15 fundamental manuscripts by constructing a citation network for the ethical discourse, and we extracted actionable principles and their relationships. We provide an agenda to guide academia, framed under the principles of biomedical ethics. We provide an understanding of the current ethical discourse of AI in clinical environments, identify where further research is pressingly needed, and discuss additional research questions that should be addressed. We also guide practitioners to acknowledge AI-related benefits in hospitals and to understand the related ethical concerns. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00146-021-01239-4. |
format | Online Article Text |
id | pubmed-8238382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer London |
record_format | MEDLINE/PubMed |
spelling | pubmed-82383822021-06-29 Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research Mirbabaie, Milad Hofeditz, Lennart Frick, Nicholas R. J. Stieglitz, Stefan AI Soc Original Article The application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo of interdisciplinary research in academia on ethical considerations and dimensions of AI in hospitals. We found 15 fundamental manuscripts by constructing a citation network for the ethical discourse, and we extracted actionable principles and their relationships. We provide an agenda to guide academia, framed under the principles of biomedical ethics. We provide an understanding of the current ethical discourse of AI in clinical environments, identify where further research is pressingly needed, and discuss additional research questions that should be addressed. We also guide practitioners to acknowledge AI-related benefits in hospitals and to understand the related ethical concerns. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00146-021-01239-4. Springer London 2021-06-28 2022 /pmc/articles/PMC8238382/ /pubmed/34219989 http://dx.doi.org/10.1007/s00146-021-01239-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Mirbabaie, Milad Hofeditz, Lennart Frick, Nicholas R. J. Stieglitz, Stefan Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research |
title | Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research |
title_full | Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research |
title_fullStr | Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research |
title_full_unstemmed | Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research |
title_short | Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research |
title_sort | artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238382/ https://www.ncbi.nlm.nih.gov/pubmed/34219989 http://dx.doi.org/10.1007/s00146-021-01239-4 |
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