设计一个接口,以传达基于人工智能的预后,为患有晚期固体瘤的患者:以用户为中心的方法
Catherine J Staes1,2, Anna C Beck3, George Chalkidis4
1College of Nursing, University of Utah, Salt Lake City, UT 84112, United States.
Journal of the American Medical Informatics Association : JAMIA
|October 17, 2023
概括
这项研究开发了一个以用户为中心的界面,以帮助瘤学家传达基于机器学习 (ML) 的预后,用于高级固体瘤. 该设计优先考虑可解释性和信任性,改善患者和医生的关于癌症生存预测的讨论.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 人与计算机的交互
背景情况:
- 对晚期固体瘤进行基于机器学习 (ML) 的预后传播对瘤学家来说是一个挑战.
- 现有的工具可能无法充分满足临床实践中对清晰,可解释的预后信息的需求.
研究的目的:
- 设计和完善一个界面,支持瘤学家沟通基于ML的预后.
- 通过以用户为中心的方法,在整个设计过程中纳入瘤学家的需求和反.
主要方法:
- 采用跨学科,以用户为中心的设计方法,采用5个代设计轮.
- 进行了专家评价,纳入了色盲成年人的反,并与瘤学家进行了13次半结构面试.
- 利用患者简历和具有代表性数据的接口,收集关于治疗决策点预测生存时间的反.
主要成果:
- 开发了一个7部分的界面,使瘤学家能够"讲述一个故事"关于预后.
- 代增强解决了以用户为中心的问题,改善了基于ML的预后沟通,并暴露了设计假设.
- 临床医生优先考虑解释性而不是解释性,要求特定的可用性和信任增强 (例如,使用月份而不是天,解决先前的治疗).
结论:
- 以用户为中心的设计和持续的临床投入对于开发有效的AI支持决策支持工具至关重要.
- 清楚地传达ML相关结果的可视化是必不可少的,特别是传达预后风险.
- 设计的界面旨在增强对瘤学家和患者之间的ML驱动的预后通信的信任和理解.
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