Evaluation of a Retrieval-Augmented Generation-Powered Chatbot for Pre-CT Informed Consent: a Prospective Comparative Study.

Felix Busch, Lukas Kaibel, Hai Nguyen, Tristan Lemke, Sebastian Ziegelmayer, Markus Graf, Alexander W Marka, Lukas Endrös, Philipp Prucker, Daniel Spitzl, Markus Mergen, Marcus R Makowski, Keno K Bressem, Sebastian Petzoldt, Lisa C Adams, Tim Landgraf
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Abstract

This study aims to investigate the feasibility, usability, and effectiveness of a Retrieval-Augmented Generation (RAG)-powered Patient Information Assistant (PIA) chatbot for pre-CT information counseling compared to the standard physician consultation and informed consent process. This prospective comparative study included 86 patients scheduled for CT imaging between November and December 2024. Patients were randomly assigned to either the PIA group (n = 43), who received pre-CT information via the PIA chat app, or the control group (n = 43), with standard doctor-led consultation. Patient satisfaction, information clarity and comprehension, and concerns were assessed using six ten-point Likert-scale questions after information counseling with PIA or the doctor's consultation. Additionally, consultation duration was measured, and PIA group patients were asked about their preference for pre-CT consultation, while two radiologists rated each PIA chat in five categories. Both groups reported similarly high ratings for information clarity (PIA: 8.64 ± 1.69; control: 8.86 ± 1.28; p = 0.82) and overall comprehension (PIA: 8.81 ± 1.40; control: 8.93 ± 1.61; p = 0.35). However, the doctor consultation group showed greater effectiveness in alleviating patient concerns (8.30 ± 2.63 versus 6.46 ± 3.29; p = 0.003). The PIA group demonstrated significantly shorter subsequent consultation times (median: 120 s [interquartile range (IQR): 100-140] versus 195 s [IQR: 170-220]; p = 0.04). Both radiologists rated overall quality, scientific and clinical evidence, clinical usefulness and relevance, consistency, and up-to-dateness of PIA high. The RAG-powered PIA effectively provided pre-CT information while significantly reducing physician consultation time. While both methods achieved comparable patient satisfaction and comprehension, physicians were more effective at addressing worries or concerns regarding the examination.

检索增强生成动力聊天机器人对ct前知情同意的评估:一项前瞻性比较研究。
本研究旨在探讨检索增强生成(RAG)驱动的患者信息助理(PIA)聊天机器人用于ct前信息咨询的可行性、可用性和有效性,并与标准的医生咨询和知情同意流程进行比较。这项前瞻性比较研究包括86名患者,计划于2024年11月至12月进行CT成像。患者被随机分配到PIA组(n = 43),通过PIA聊天应用程序接收ct前信息,或对照组(n = 43),接受标准的医生指导咨询。通过PIA或医生咨询后的信息咨询,使用6个李克特量表(Likert-scale)评估患者满意度、信息清晰度和理解以及担忧。此外,会诊时间被测量,PIA组患者被问及他们对ct前会诊的偏好,而两名放射科医生将每次PIA聊天分为五类。两组的信息清晰度评分相似(PIA: 8.64±1.69;对照组:8.86±1.28;p = 0.82)和整体理解(PIA: 8.81±1.40;对照组:8.93±1.61;p = 0.35)。然而,医生咨询组在缓解患者担忧方面表现出更大的有效性(8.30±2.63比6.46±3.29;p = 0.003)。PIA组的后续咨询时间显著缩短(中位数:120秒[四分位间距(IQR): 100-140],而195秒[IQR: 170-220];p = 0.04)。两位放射科医生都对PIA的总体质量、科学和临床证据、临床有用性和相关性、一致性和最新性评价很高。rag驱动的PIA有效地提供了ct前信息,同时显着减少了医生咨询时间。虽然这两种方法都获得了相当的患者满意度和理解力,但医生在解决有关检查的担忧或顾虑方面更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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