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ChatGPT在非英语门诊环境中的潜在作用。

ChatGPT's potential role in non-English-speaking outpatient clinic settings.

作者信息

Zhu Zhoule, Ying Yuqi, Zhu Junming, Wu Hemmings

机构信息

Department of Neurosurgery, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China.

Clinical Research Center for Neurological Diseases of Zhejiang Province, Hangzhou, Zhejiang, China.

出版信息

Digit Health. 2023 Jun 26;9:20552076231184091. doi: 10.1177/20552076231184091. eCollection 2023 Jan-Dec.

Abstract

Researchers recently utilized ChatGPT as a tool for composing clinic letters, highlighting its ability to generate accurate and empathetic communications. Here we demonstrated the potential application of ChatGPT as a medical assistant in Mandarin Chinese-speaking outpatient clinics, aiming to improve patient satisfaction in high-patient volume settings. ChatGPT achieved an average score of 72.4% in the Chinese Medical Licensing Examination's Clinical Knowledge section, ranking within the top 20th percentile. It also demonstrated its potential for clinical communication in non-English speaking environments. Our study suggests that ChatGPT could serve as an interface between physicians and patients in Chinese-speaking outpatient settings, possibly extending to other languages. However, further optimization is required, including training on medical-specific datasets, rigorous testing, privacy compliance, integration with existing systems, user-friendly interfaces, and the development of guidelines for medical professionals. Controlled clinical trials and regulatory approval are necessary before widespread implementation. As chatbots' integration into medical practice becomes more feasible, rigorous early investigations and pilot studies can help mitigate potential risks.

摘要

研究人员最近将ChatGPT用作撰写临床信函的工具,突出了其生成准确且富有同理心的沟通内容的能力。在此,我们展示了ChatGPT作为医学助手在说中文的门诊诊所中的潜在应用,旨在提高患者量大的环境中的患者满意度。ChatGPT在中国医学执业资格考试临床知识部分的平均得分为72.4%,排名在前20%以内。它还展示了其在非英语环境中进行临床沟通的潜力。我们的研究表明,ChatGPT可以作为说中文的门诊环境中医生和患者之间的接口,可能还会扩展到其他语言。然而,还需要进一步优化,包括针对医学特定数据集进行训练、严格测试、遵守隐私规定、与现有系统集成、开发用户友好界面以及为医学专业人员制定指南。在广泛实施之前,需要进行对照临床试验和监管批准。随着聊天机器人融入医疗实践变得更加可行,严格的早期调查和试点研究有助于降低潜在风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31ea/10331772/f886f2cf36ab/10.1177_20552076231184091-fig1.jpg

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