A growing body of work uses Natural Language Processing (NLP) methods to automatically generate medical notes from audio recordings of doctor-patient consultations. However, there are very few studies on how such systems could be used in clinical practice, how clinicians would adjust to using them, or how system design should be influenced by such considerations. In this paper, we present three rounds of user studies, carried out in the context of developing a medical note generation system. We present, analyse and discuss the participating clinicians' impressions and views of how the system ought to be adapted to be of value to them. Next, we describe a three-week test run of the system in a live telehealth clinical practice, major findings from which include (i) the emergence of five different note-taking behaviours; (ii) the importance of the system generating notes in real time during the consultation; and (iii) the identification of a number of clinical use cases that could prove challenging for automatic note generation systems.
翻译:越来越多的工作采用自然语言处理方法,自动从医生-病人咨询的录音记录中生成医疗记录,然而,关于这些系统如何在临床实践中使用,临床医生如何适应使用这些系统,或系统设计如何受这些考虑的影响,这些研究很少;在本文件中,我们介绍了在开发医疗记录生成系统的背景下进行的三轮用户研究;我们介绍、分析和讨论参与的临床医生的印象和观点,说明如何对该系统进行调整,使其具有价值;接着,我们描述了在远程医疗活体临床实践中对该系统进行的为期三周的测试,主要结果包括:(一) 出现五种不同的记录行为;(二) 系统在磋商期间实时生成记录的重要性;以及(三) 查明一些临床使用案例,这些案例对自动记录生成系统具有挑战性。