ChatGPT在告知罕见肾病患者和家属方面的风险和益处:欧洲罕见肾病参考网络(ERKNet)的探索性评估

IF 2.6 3区 医学 Q1 PEDIATRICS
Albertien M van Eerde, Ana Teixeira, Flavia Galletti, Michal Maternik, Valentina Capone, Rik Westland, Jaap Mulder, Jan Halbritter, Thomas Osterholt, Valentina Neukel, Lutz T Weber, Max C Liebau, Franz Schaefer, Stefan Kohl
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引用次数: 0

摘要

背景:罕见疾病影响不到1 / 2000的个体,但大约150种罕见肾脏疾病约占慢性肾脏疾病(CKD)人群的10%,影响了欧洲和全球数百万人。由于缺乏治疗这些疾病的医学专家,导致对准确和有用的患者信息的需求未得到满足。像ChatGPT这样的大型语言模型可以提供一种技术解决方案,帮助医疗专业人员教育患者,改善医患沟通。我们假设ChatGPT可以对罕见肾病患者常见的基本问题提供准确的回答。方法:医学专业人员和隶属于欧洲罕见肾病参考网络(ERKNet)的欧洲患者倡导组织(ePAGs)成员使用微软表格问卷和ChatGPT 3.5和4.0模拟患者与ChatGPT的互动。参与者选择任何罕见的肾脏疾病与ChatGPT 3.5或4.0进行结构化对话。评估回答的准确性和有用性。结果:来自欧洲13个国家的46位ERKNet专家和12位ePAGs参与了本研究。ChatGPT为随机选择的28种罕见肾脏疾病提供科学准确和有用的信息,包括预后信息和基因检测指导。参与者对ChatGPT关于替代治疗、第二意见和其他信息来源的建议表示中立立场。虽然ChatGPT通常被认为是有帮助和同情的,但对患者安全的担忧仍然存在。结论:ChatGPT在解决现实世界中罕见肾脏疾病的患者询问方面显示出巨大的潜力。虽然它在这个应用程序中展示了对错误信息的弹性,但仔细的人为监督仍然是必不可少的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risks and benefits of ChatGPT in informing patients and families with rare kidney diseases: an explorative assessment by the European Rare Kidney Disease Reference Network (ERKNet).

Background: Rare diseases affect fewer than 1 in 2000 individuals, but approximately 150 rare kidney diseases account for about 10% of the chronic kidney disease (CKD) population, impacting millions across Europe and globally. The scarcity of medical experts for these conditions results in an unmet need for accurate and helpful patient information. Large language models like ChatGPT may offer a technological solution to assist medical professionals in educating patients and improving doctor-patient communication. We hypothesized that ChatGPT could provide accurate responses to frequently asked basic questions from patients with rare kidney diseases.

Methods: Medical professionals and members of European Patient Advocacy Groups (ePAGs) affiliated with the European Rare Kidney Disease Reference Network (ERKNet) simulated patient-ChatGPT interactions using a Microsoft forms questionnaire and ChatGPT 3.5 and 4.0. Participants selected any rare kidney disease for a structured conversation with ChatGPT 3.5 or 4.0. Responses were evaluated for accuracy and helpfulness.

Results: Forty-six ERKNet experts and 12 ePAGs from 13 European countries participated in this study. ChatGPT provided scientifically accurate and helpful information on 28 randomly selected rare kidney diseases, including prognostic information and genetic testing guidance. Participants expressed neutral positions regarding ChatGPT's recommendations on alternative treatments, second opinions, and other information sources. While ChatGPT generally was perceived as helpful and empathetic, concerns about patient safety persisted.

Conclusions: ChatGPT exhibited substantial potential in addressing patient inquiries regarding rare kidney diseases in a real-world context. While it demonstrated resilience against misinformation in this application, careful human oversight remains essential and indispensable.

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来源期刊
Pediatric Nephrology
Pediatric Nephrology 医学-泌尿学与肾脏学
CiteScore
4.70
自引率
20.00%
发文量
465
审稿时长
1 months
期刊介绍: International Pediatric Nephrology Association Pediatric Nephrology publishes original clinical research related to acute and chronic diseases that affect renal function, blood pressure, and fluid and electrolyte disorders in children. Studies may involve medical, surgical, nutritional, physiologic, biochemical, genetic, pathologic or immunologic aspects of disease, imaging techniques or consequences of acute or chronic kidney disease. There are 12 issues per year that contain Editorial Commentaries, Reviews, Educational Reviews, Original Articles, Brief Reports, Rapid Communications, Clinical Quizzes, and Letters to the Editors.
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