将报告定性研究指南的综合标准扩展到大型语言模型 (COREQ+LLM):多阶段研究协议
Leonard Fehring1,2, Julian Frings1, Paul Rust1
1Health Care Informatics, Faculty of Health, School of Medicine, Witten/Herdecke University, Witten, Germany.
JMIR research protocols
|September 24, 2025
概括
本研究开发了COREQ+LLM,这是一个检查列表扩展,用于在定性健康研究中透明地报告大语言模型 (LLM) 的使用. 它旨在加强方法论的严谨性和对LLM辅助研究的信任.
科学领域:
- 健康研究方法的方法论.
- 定性研究是指质量研究.
- 在研究中的人工智能.
背景情况:
- 在健康科学中,定性研究对于理解人类经验至关重要.
- COREQ 检查清单提高了定性研究报告的透明度.
- 大型语言模型 (LLM) 在定性研究中提出了新的挑战和机会,需要具体的报告准则.
研究的目的:
- 开发COREQ+LLM,这是COREQ检查清单的扩展,用于报告LLM在定性研究中的使用.
- 在定性健康研究中识别和分类LLM应用.
- 评估目前的LLM使用报告实践,并就新的报告项目建立共识.
主要方法:
- 在定性研究中LLM使用的系统范围审查 (2020年1月至2025年4月).
- 一个涉及国际专家的德尔菲进程,以在检查清单项目上达成共识.
- 试点测试和传播COREQ+LLM检查清单.
主要成果:
- 在范围审查的初始搜索中确定了5000多个记录.
- 目前正在进行标题和摘要选,以起草初始检查清单项目.
- 预计COREQ+LLM扩展将于2025年12月完成.
结论:
- 在定性研究中LLM的整合需要专门的报告准则,以确保透明度和严格性.
- COREQ+LLM将解决当前的报告缺口,帮助研究人员,审稿人和编辑.
- 该清单旨在促进信任,提高LLM支持的定性研究的有效性和可重复性.
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