放射科医生与即时通讯决策支持工具的互动理论:一个序列解释性研究
John Lee Burns1,2, Judy Wawira Gichoya3, Marc D Kohli4
1Department of Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, United States of America.
PLOS digital health
|February 26, 2024
概括
放射学中的临床决策支持系统 (CDSS) 并没有很好地融入工作流程. 这项研究探讨了放射科医生使用者的差异,并提出了Radibot,一种会话代理,以提高CDSS的满意度.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 放射学 放射学是一门学科.
背景情况:
- 临床决策支持系统 (CDSS) 和人工智能在放射学工作流程中的整合有限.
- 目前的CDSS开发重点是以考试为中心的时间点:获取后,报告内,报告后和工作流相邻的干预.
研究的目的:
- 了解放射科医生与软件干预的独特交互模式.
- 开发放射科医生与决策工具相互作用的理论框架.
- 提出新的解决方案,以提高CDSS集成和放射学用户满意度.
主要方法:
- 一个连续的解释性研究设计,结合了定量和定性阶段.
- 第一个阶段:使用信息技术用户接受度 (UTAUT) 框架进行定量调查,以比较平均用户和放射科医生.
- 第二阶段:半结构面试,以探索用户接受度观察到的差异背后的原因.
主要成果:
- 发现了软件干预在普通用户和放射科医生之间接受度的显著差异.
- 收集的定性数据为这些用户特定差异提供了上下文和解释.
- 建议Radibot,一个与即时通讯集成的对话代理,作为一种新的CDSS交付方法.
结论:
- 了解放射科医生特定的用户行为对于有效的CDSS设计至关重要.
- 拟议的Radibot系统提供了一个潜在的途径,以提高CDSS的满意度和在放射学中的整合.
- 这项研究为开发人员提供了可操作的见解,以创建更多以用户为中心的放射学CDSS工具.
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