医疗保健领域的人工智能治理框架。

Q3 Medicine
Masooma Hassan, Elizabeth M Borycki, Andre W Kushniruk
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引用次数: 0

摘要

人工智能(AI)领域的最新进展为这项技术的应用提供了广阔的前景,其目的是解决复杂的医疗保健挑战。这些挑战包括优化运营效率、支持临床管理职能和改善护理效果。许多人工智能模型已在研究环境中得到验证,但由于实施和采用方面的挑战,很少有人工智能模型能得到有用的应用。在本文中,我们描述了其中的一些挑战,以及需要一个促进实体来安全地将人工智能系统转化为实际应用。作者提出了一个新的人工智能治理框架,为医疗机构提供了一个实施和采用人工智能系统的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence governance framework for healthcare.

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.

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来源期刊
Healthcare Management Forum
Healthcare Management Forum Medicine-Health Policy
CiteScore
3.60
自引率
0.00%
发文量
67
期刊介绍: Healthcare Management Forum is the official journal of the Canadian College of Health Service Executives. It is the only peer-reviewed journal that covers issues related to advances in health services management, theory and practice in a Canadian context. The quality of its contributors, the rigorous review process and the leading-edge topics make it truly unique!
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