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成立医院人工智能委员会以改善患者护理。

Establishing a Hospital Artificial Intelligence Committee to Improve Patient Care.

作者信息

Borkowski Andrew A, Jakey Colleen E, Thomas L Brannon, Viswanadhan Narayan, Mastorides Stephen M

机构信息

James A. Haley Veterans' Hospital, Tampa, Florida.

University of South Florida Morsani College of Medicine, Tampa.

出版信息

Fed Pract. 2022 Aug;39(8):334-336. doi: 10.12788/fp.0299. Epub 2022 Aug 10.


DOI:10.12788/fp.0299
PMID:36425811
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9652023/
Abstract

BACKGROUND: The use of artificial intelligence (AI) in health care is increasing and has shown utility in many medical specialties, especially pathology, radiology, and oncology. OBSERVATIONS: Many barriers exist to successfully implement AI programs in the clinical setting. To address these barriers, a formal governing body, the hospital AI Committee, was created at James A. Haley Veterans' Hospital in Tampa, Florida. The AI committee reviews and assesses AI products based on their success at protecting human autonomy; promoting human well-being and safety and the public interest; ensuring transparency, explainability, and intelligibility; fostering responsibility and accountability; ensuring inclusiveness and equity; and promoting AI that is responsive and sustainable. CONCLUSIONS: Through the hospital AI Committee, we may overcome many obstacles to successfully implementing AI applications in the clinical setting.

摘要

背景:人工智能(AI)在医疗保健领域的应用正在增加,并已在许多医学专科中显示出实用性,尤其是病理学、放射学和肿瘤学。 观察结果:在临床环境中成功实施人工智能项目存在许多障碍。为了克服这些障碍,佛罗里达州坦帕市的詹姆斯·A·海利退伍军人医院成立了一个正式的管理机构——医院人工智能委员会。该人工智能委员会根据人工智能产品在保护人类自主性、促进人类福祉与安全以及公共利益、确保透明度、可解释性和易懂性、培养责任感和问责制、确保包容性和平等性以及推广响应性和可持续性人工智能方面的成效,对人工智能产品进行审查和评估。 结论:通过医院人工智能委员会,我们可以克服在临床环境中成功实施人工智能应用的许多障碍。

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Establishing a Hospital Artificial Intelligence Committee to Improve Patient Care.

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[2]
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[10]
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[2]
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[3]
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[4]
Applications of ChatGPT and Large Language Models in Medicine and Health Care: Benefits and Pitfalls.

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本文引用的文献

[1]
Artificial Intelligence: Review of Current and Future Applications in Medicine.

Fed Pract. 2021-11

[2]
AI in health and medicine.

Nat Med. 2022-1

[3]
To buy or not to buy-evaluating commercial AI solutions in radiology (the ECLAIR guidelines).

Eur Radiol. 2021-6

[4]
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015-20): a comparative analysis.

Lancet Digit Health. 2021-3

[5]
Deep learning in cancer pathology: a new generation of clinical biomarkers.

Br J Cancer. 2021-2

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