人工智能在大学医院中的应用实施与运行的治理框架。
A Governance Framework for the Implementation and Operation of AI Applications in a University Hospital.
机构信息
Friedrich-Alexander-Universität Erlangen-Nürnberg, Institute for Medical Informatics, Biometrics and Epidemiology, Medical Informatics, Erlangen, Germany.
Junior Research Group (Bio-)medical Data Science, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
出版信息
Stud Health Technol Inform. 2024 Aug 22;316:776-780. doi: 10.3233/SHTI240527.
BACKGROUND
Artificial intelligence (AI) is becoming increasingly important in everyday life and medical care with a notable gap between AI development in medicine there and its practical implementation in university hospitals.
OBJECTIVE
The aim was to develop a governance framework to guide the procurement and implementation of AI applications in university hospitals.
METHODS
Seven role-play expert interviews were conducted with interviewees from two university hospitals, simulating realistic AI system implementation scenarios.
RESULTS
A detailed governance framework was developed, divided into the sections general considerations, system selection criteria, and implementation. Further, a condensed version of the checklist was also derived.
CONCLUSION
Many aspects of AI applications in medical care, such as the establishment of an AI board, remain, along with numerous concerns about the technology. These findings provide valuable insights into the topic.
背景
人工智能（AI）在日常生活和医疗保健中变得越来越重要，医学领域的 AI 发展与其在大学医院的实际应用之间存在显著差距。
目的
旨在开发一个治理框架，以指导大学医院中 AI 应用的采购和实施。
方法
与来自两家大学医院的受访者进行了七次角色扮演专家访谈，模拟了现实的 AI 系统实施场景。
结果
开发了一个详细的治理框架，分为总则、系统选择标准和实施三个部分。此外，还衍生出了一个精简版的检查表。
结论
医疗保健中 AI 应用的许多方面，例如成立 AI 委员会，以及对该技术的诸多关注，仍然存在。这些发现为该主题提供了有价值的见解。
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