Usher Institute, The University of Edinburgh, Usher Building, Edinburgh, United Kingdom.
Amsterdam UMC, University of Amsterdam, Medical Informatics, Amsterdam, Netherlands.
J Med Internet Res. 2024 Aug 7;26:e46407. doi: 10.2196/46407.
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.
鉴于在医疗保健提供中最小化技术应用风险和最大化其效益的需求，迫切需要将基于理论的健康信息技术（HIT）评估框架纳入现有的和新出现的人工智能（AI）评估指南中。此类框架可以帮助开发者、实施者和战略决策者借鉴经验和现有经验证据基础。我们提供了一个实用的概念概述，介绍了如何使用选定的具体示例，说明现有的基于理论的 HIT 评估框架如何用于为医疗保健环境中 AI 的安全开发和实施提供信息。该列表并不详尽，旨在说明符合各种利益相关者要求的应用。现有的 HIT 评估框架可以通过支持开发者和战略决策者考虑相关技术、用户和组织维度，为基于 AI 的开发和实施提供信息。这可以促进技术的设计、在用户和组织环境中的实施，以及技术的可持续性和可扩展性。
