用户驱动的病历生成软件研究
User-Driven Research of Medical Note Generation Software
摘要：
越来越多的工作使用自然语言处理（NLP）方法从医生和患者咨询的音频记录中自动生成医疗记录。然而，很少有研究这样的系统可以在临床实践中使用，临床医生将如何调整使用它们，或系统设计应如何受到这些考虑的影响。在本文中，我们提出了三轮的用户研究，在开发一个医疗记录生成系统的背景下进行。我们提出，分析和讨论的参与临床医生的印象和意见，该系统应该如何适应是有价值的。接下来，我们描述了一个为期三周的测试运行的系统在现场远程医疗临床实践。主要发现包括：（i）出现了五种不同的记笔记行为;（ii）系统在会诊期间实时的生成笔记的重要性;以及（iii）识别出许多临床用例，这些用例可能对自动笔记生成系统构成挑战。
英文摘要：
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 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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
