Burns John Lee, Gichoya Judy Wawira, Kohli Marc D, Jones Josette, Purkayastha Saptarshi
Department of Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, United States of America.
Department of BioHealth Informatics, Indiana University Luddy School of Informatics, Computing, and Engineering, Indianapolis, Indiana, United States of America.
PLOS Digit Health. 2024 Feb 26;3(2):e0000297. doi: 10.1371/journal.pdig.0000297. eCollection 2024 Feb.
Radiology specific clinical decision support systems (CDSS) and artificial intelligence are poorly integrated into the radiologist workflow. Current research and development efforts of radiology CDSS focus on 4 main interventions, based around exam centric time points-after image acquisition, intra-report support, post-report analysis, and radiology workflow adjacent. We review the literature surrounding CDSS tools in these time points, requirements for CDSS workflow augmentation, and technologies that support clinician to computer workflow augmentation. We develop a theory of radiologist-decision tool interaction using a sequential explanatory study design. The study consists of 2 phases, the first a quantitative survey and the second a qualitative interview study. The phase 1 survey identifies differences between average users and radiologist users in software interventions using the User Acceptance of Information Technology: Toward a Unified View (UTAUT) framework. Phase 2 semi-structured interviews provide narratives on why these differences are found. To build this theory, we propose a novel solution called Radibot-a conversational agent capable of engaging clinicians with CDSS as an assistant using existing instant messaging systems supporting hospital communications. This work contributes an understanding of how radiologist-users differ from the average user and can be utilized by software developers to increase satisfaction of CDSS tools within radiology.
放射学专用临床决策支持系统（CDSS）和人工智能在放射科医生的工作流程中整合程度较低。目前放射学CDSS的研发工作主要集中在4种主要干预措施上，这些措施围绕以检查为中心的时间点展开，包括图像采集后、报告撰写过程中、报告撰写后分析以及与放射学工作流程相邻的环节。我们回顾了这些时间点周围有关CDSS工具的文献、CDSS工作流程增强的要求以及支持临床医生与计算机工作流程增强的技术。我们使用顺序解释性研究设计，构建了放射科医生与决策工具交互的理论。该研究包括两个阶段，第一阶段是定量调查，第二阶段是定性访谈研究。第一阶段的调查使用信息技术用户接受度：迈向统一观点（UTAUT）框架，确定普通用户和放射科医生用户在软件干预方面的差异。第二阶段的半结构化访谈提供了关于发现这些差异原因的叙述。为了构建这一理论，我们提出了一种名为Radibot的新颖解决方案——一种对话代理，能够使用支持医院通信的现有即时消息系统，作为助手让临床医生与CDSS进行互动。这项工作有助于理解放射科医生用户与普通用户的不同之处，软件开发人员可以利用这些信息来提高放射科对CDSS工具的满意度。
