在临床环境中评估人工智能 - - 我们不要再发明轮子
Kathrin Cresswell1, Nicolette de Keizer2,3, Farah Magrabi4
1Usher Institute, The University of Edinburgh, Usher Building, Edinburgh, United Kingdom.
Journal of medical Internet research
|August 7, 2024
概括
基于理论的医疗IT评估框架对于人工智能 (AI) 在医疗保健中的安全开发和实施至关重要. 这些框架指导开发人员和决策者,确保技术的好处超过风险.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 技术评估框架 技术评估框架
背景情况:
- 医疗保健越来越多地使用技术,需要降低风险和最大化收益.
- 在医疗保健中评估人工智能 (AI) 需要强大的框架.
- 现有的健康信息技术 (HIT) 评估框架提供了有价值的见解.
研究的目的:
- 提供一个概述,以理论为基础的HIT评估框架如何引导AI在医疗保健中的开发和实施.
- 为了说明现有的AI框架在卫生环境中的实际应用.
- 支持开发人员,实施者和决策者安全地采用人工智能.
主要方法:
- 选定的基于理论的HIT评估框架的概念概述.
- 在医疗保健中对AI的框架应用的说明性示例.
- 专注于务实和利益相关者驱动的要求.
主要成果:
- 现有的HIT评估框架可以通过解决技术,用户和组织维度来为AI开发提供信息.
- 框架促进人工智能技术的设计,实施和可扩展性.
- 这些方法支持基于证据的决策,用于医疗保健中的AI.
结论:
- 基于理论的HIT评估框架对于AI在医疗保健中安全有效地整合至关重要.
- 应用这些框架可以提高人工智能解决方案的设计,实施和可持续性.
- 这种方法支持最大限度地提高益处,同时最大限度地降低健康AI的风险.
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