Hassan Masooma, Borycki Elizabeth M, Kushniruk Andre W
University of Victoria, Victoria, British Columbia, Canada.
Healthc Manage Forum. 2025 Mar;38(2):125-130. doi: 10.1177/08404704241291226. Epub 2024 Oct 29.
Recent advancements in the field of Artificial Intelligence (AI) provide promising applications of this technology with the aim of solving complex healthcare challenges. These include optimizing operational efficiencies, supporting clinical administrative functions, and improving care outcomes. Numerous AI models are validated in research settings but few make their way into useful applications due to challenges associated with implementation and adoption. In this article, we describe some of these challenges, along with the need for a facilitating entity to safely translate AI systems into practical use. The authors propose a new AI governance framework to enable healthcare organizations with a mechanism to implement and adopt AI systems.
人工智能（AI）领域的最新进展为解决复杂的医疗保健挑战提供了该技术的有前景的应用。这些应用包括优化运营效率、支持临床管理功能以及改善护理结果。许多人工智能模型在研究环境中得到了验证，但由于与实施和采用相关的挑战，很少有模型能够转化为有用的应用。在本文中，我们描述了其中一些挑战，以及需要一个促进实体将人工智能系统安全地转化为实际用途。作者提出了一个新的人工智能治理框架，以使医疗保健组织能够拥有实施和采用人工智能系统的机制。
