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评估人工智能在分诊门诊中的效用:一项前瞻性随机对照临床研究。

Assessing the utility of artificial intelligence throughout the triage outpatients: a prospective randomized controlled clinical study.

机构信息

Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China.

Department of Respiratory Medicine, First Affiliated Hospital Gannan Medical University, Ganzhou, China.

出版信息

Front Public Health. 2024 May 30;12:1391906. doi: 10.3389/fpubh.2024.1391906. eCollection 2024.

DOI:10.3389/fpubh.2024.1391906
PMID:38873307
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11171710/
Abstract

Currently, there are still many patients who require outpatient triage assistance. ChatGPT, a natural language processing tool powered by artificial intelligence technology, is increasingly utilized in medicine. To facilitate and expedite patients' navigation to the appropriate department, we conducted an outpatient triage evaluation of ChatGPT. For this evaluation, we posed 30 highly representative and common outpatient questions to ChatGPT and scored its responses using a panel of five experienced doctors. The consistency of manual triage and ChatGPT triage was assessed by five experienced doctors, and statistical analysis was performed using the Chi-square test. The expert ratings of ChatGPT's answers to these 30 frequently asked questions revealed 17 responses earning very high scores (10 and 9.5 points), 7 earning high scores (9 points), and 6 receiving low scores (8 and 7 points). Additionally, we conducted a prospective cohort study in which 45 patients completed forms detailing gender, age, and symptoms. Triage was then performed by outpatient triage staff and ChatGPT. Among the 45 patients, we found a high level of agreement between manual triage and ChatGPT triage (consistency: 93.3-100%, <0.0001). We were pleasantly surprised to observe that ChatGPT's responses were highly professional, comprehensive, and humanized. This innovation can help patients win more treatment time, improve patient diagnosis and cure rates, and alleviate the pressure of medical staff shortage.

摘要

目前仍有许多患者需要门诊分诊协助。ChatGPT 是一种基于人工智能技术的自然语言处理工具,在医学领域的应用日益广泛。为了方便和加快患者到相应科室就诊,我们对 ChatGPT 进行了门诊分诊评估。为此,我们向 ChatGPT 提出了 30 个具有高度代表性和常见的门诊问题,并由 5 名经验丰富的医生组成的专家组对其回答进行评分。5 名经验丰富的医生评估了手动分诊和 ChatGPT 分诊的一致性,并使用卡方检验进行了统计分析。专家对 ChatGPT 回答这 30 个常见问题的评分显示,17 个回答获得了非常高的分数(10 分和 9.5 分),7 个回答获得了高分(9 分),6 个回答获得了低分(8 分和 7 分)。此外,我们进行了一项前瞻性队列研究,其中 45 名患者填写了详细的性别、年龄和症状信息。然后由门诊分诊工作人员和 ChatGPT 进行分诊。在这 45 名患者中,我们发现手动分诊和 ChatGPT 分诊之间具有高度一致性(一致性:93.3-100%,<0.0001)。我们惊喜地发现,ChatGPT 的回答非常专业、全面且人性化。这项创新可以帮助患者赢得更多的治疗时间,提高患者的诊断和治愈率,并缓解医务人员短缺的压力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f73c/11171710/25ea210314b2/fpubh-12-1391906-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f73c/11171710/25ea210314b2/fpubh-12-1391906-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f73c/11171710/25ea210314b2/fpubh-12-1391906-g001.jpg

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