面向以患者为中心的人工智能 标签:利用外部信任线索
Dong Whi Yoo1, Austin M Stroud2, Xuan Zhu2
1Indiana University Indianapolis, Indianapolis, Indiana, USA.
概括
患者需要明确的信息和信任信号,以便在医疗保健中采用人工智能. 本研究探讨了患者对心脏病学AI文档的看法,强调了需要详细解释和监管信任线索的需求.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 人与计算机的互动.
- 医疗人工智能的人工智能
背景情况:
- 医疗保健中的人工智能 (AI) 提供了巨大的潜力,但在患者的理解,信任和采用方面面临挑战.
- 现有的AI文档框架 (例如模型卡) 主要关注技术方面,对医疗保健环境中的患者观点的探索有限.
研究的目的:
- 调查患者对心脏病学AI文档的观点,心脏病学是一个越来越多地使用高风险AI工具的领域.
- 确定患者在医疗保健中理解和信任人工智能技术的需求和偏好.
- 为设计以患者为中心的AI文档提供信息.
主要方法:
- 基于现有框架开发AI文档原型.
- 在心脏病学背景下,从18名参与者那里收集这些原型的定性反.
- 分析患者的反,以确定与理解,信任和采用有关的关键主题.
主要成果:
- 患者需要更多关于医疗保健人工智能技术的全面信息.
- 外在的信任线索,如监管地位,对于建立患者信心至关重要.
- 将人工智能文档集成到现有的临床工作流中,对于采用人工智能来说至关重要.
结论:
- 以患者为中心的设计对于有效的医疗保健AI文档至关重要.
- 利用外部信任线索可以显著提高AI文档的设计和接受.
- 这项研究扩大了HCI中的患者声音,为医疗保健AI开发提供了可操作的见解.
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