建议或不建议:为时间关键的医疗事件设计和评估人工智能支持的决策支持
Angela Mastrianni1, Mary Suhyun Kim2, Travis M Sullivan2
1Drexel University, USA.
概括
人工智能决策支持工具提高了医疗提供者对创伤伤害作出正确治疗决策的能力. 然而,挑战包括平衡推准确性与速度,以及管理不同的提供者认知.
科学领域:
- 人工智能在医学中的应用
- 人与计算机的交互
- 医疗决策支持 医疗决策支持
背景情况:
- 人工智能支持的决策支持系统对于在紧急情况下快速做出医疗决策至关重要.
- 一个关键的挑战是使提供者能够有效地解释AI输出,以获得最佳的治疗选择.
研究的目的:
- 设计和评估一个支持人工智能的决策支持系统,用于治疗创伤.
- 评估不同的人类-人工智能交互策略对提供商决策的影响.
主要方法:
- 用户与医生进行研究,以确定信息需求和AI输出.
- 一个涉及35名医疗提供者的在线实验,评估AI信息合成与AI信息和建议.
主要成果:
- 与没有人工智能支持相比,提供商更有可能通过人工智能信息和建议做出正确的决定.
- 确定了社会技术障碍:准确时间的权衡和对人工智能建议的两极分化.
结论:
- 人工智能支持的决策支持,特别是建议,可以提高临终护理的提供者准确性.
- 解决社会技术障碍对于在时间关键医疗事件中有效实施人工智能至关重要.
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