在儿科医疗保健提供者中使用ChatGPT:跨部门调查研究
Susannah Kisvarday1,2, Adam Yan3,4, Julia Yarahuan5,6
1Division of General Pediatrics, Boston Children's Hospital, Boston, MA, United States.
JMIR formative research
|September 12, 2024
概括
儿科提供者已经在临床和非临床任务中使用大语言模型 (LLM),对患者护理的HIPAA合规版本非常感兴趣. 这凸显了在医疗保健环境中对LLM采用明确指导方针的需要.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 儿科医学 儿科医学
背景情况:
- 像ChatGPT这样的大型语言模型 (LLM) 的快速发展激发了人们对其医疗应用的兴趣.
- 医疗机构正在制定用于LLM使用的政策,但提供者的观点,特别是在儿科,仍然在很大程度上未被研究.
- 现有的研究缺乏关于儿科提供者如何采用和利用这些可访问的AI工具的数据.
研究的目的:
- 调查儿科提供者当前使用LLM的情况.
- 评估儿科提供者对使用符合健康保险可移植性和问责法案 (HIPAA) 的ChatGPT.com版本的兴趣.
- 了解LLM在儿科医疗保健中的感知障碍和潜在的未来应用.
主要方法:
- 一项调查由计算机专家设计,并通过REDCap.Cap向波士顿儿童医院的儿科提供者分发.
- 该调查包括结构化和非结构化问题,以收集有关LLM使用和态度的全面数据.
- 参与是自愿的,无偿的,匿名的,确保了390名提供商的坦率回复.
主要成果:
- 近50%的受访儿科提供者报告使用LLM,其中27%用于临床工作,75%用于非临床任务.
- 只有29%的人认为目前的LLM适合直接照顾患者,但73.8%的人表示愿意使用符合HIPAA的版本.
- 收集了有关当前临床和非临床LLM应用的详细见解以及拟议的未来用途.
结论:
- 儿科提供者正在积极将LLM纳入他们的专业活动,尽管存在现有担忧和实施障碍.
- 对于安全的,符合HIPAA标准的,针对医疗保健机构量身定制的LLM工具,存在很大的需求.
- 这项研究为决策者提供了关键数据,为儿童医学中LLM临床使用的指导方针提供了信息.
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