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Abstract：
Given the requirement to minimize the risks and maximize the benefits of technology applications in health care provision, there is an urgent need to incorporate theory-informed health IT (HIT) evaluation frameworks into existing and emerging guidelines for the evaluation of artificial intelligence (AI). Such frameworks can help developers, implementers, and strategic decision makers to build on experience and the existing empirical evidence base. We provide a pragmatic conceptual overview of selected concrete examples of how existing theory-informed HIT evaluation frameworks may be used to inform the safe development and implementation of AI in health care settings. The list is not exhaustive and is intended to illustrate applications in line with various stakeholder requirements. Existing HIT evaluation frameworks can help to inform AI-based development and implementation by supporting developers and strategic decision makers in considering relevant technology, user, and organizational dimensions. This can facilitate the design of technologies, their implementation in user and organizational settings, and the sustainability and scalability of technologies.
摘要：
鉴于医疗服务中技术应用的风险最小化和效益最大化的要求，迫切需要将基于理论的健康IT（HIT）评估框架纳入现有和新兴的人工智能（AI）评估指南。这样的框架可以帮助开发人员，实施者，和战略决策者建立在经验和现有经验证据基础上。我们为选定的具体示例提供了务实的概念概述，说明如何使用现有的基于理论的HIT评估框架来为医疗保健环境中AI的安全开发和实施提供信息。该列表并非详尽无遗，旨在说明符合各种利益相关者要求的应用程序。现有的HIT评估框架可以通过支持开发人员和战略决策者考虑相关技术，帮助为基于AI的开发和实施提供信息。用户,和组织维度。这可以促进技术的设计，它们在用户和组织设置中的实施，以及技术的可持续性和可扩展性。
