优化生物医学研究中知情同意文件的关键信息部分:使用大型语言模型进行的一项多阶段研究
Shahana Chumki1, Caleb Smith2, Terri Ridenour1
1Office of the Vice President for Research, University of Michigan, Ann Arbor, MI, USA.
Journal of clinical and translational science
|February 16, 2026
概括
人工智能 (AI) 工具可以帮助在知情同意文件 (ICD) 中标准化关键信息部分,提高一致性和效率. 持续的人类监督对于研究伦理的准确性和监管合规性至关重要.
科学领域:
- 生物医学伦理 生物医学伦理
- 医疗保健中的人工智能
- 临床研究管理局
背景情况:
- 知情同意文件 (ICD) 缺乏标准化关键信息 (KI) 部分,使机构审查委员会 (IRB) 的审查和参与者理解变得复杂.
- 这种不一致性给研究伦理行为和监管合规性带来了挑战.
研究的目的:
- 探索GPT-4o,一个大型语言模型 (AI) 的实用性,用于生成ICD的标准化KI部分.
- 通过专家评估,评估人工智能产生的KI内容的准确性,清晰性和可用性.
主要方法:
- 开发了一个AI工具来解释和生成ICD中的KI内容.
- 多阶段评估涉及IRB主题专家,主要调查员 (PI) 和IRB审查员,评估AI输出的准确性,差异化,优先级和一致性.
- 根据专家反,实施了代改进.
主要成果:
- 人工智能生成的KI部分显示出比代改进更好的准确性和清晰度.
- 研究人员发现人工智能生成的内容与他们自己的内容相当,并表示愿意使用该工具.
- IRB审查人员指出,在描述好处和可读性方面存在优势,但强调需要改进风险描述.
结论:
- 人工智能工具显示出增强ICD KI部分起草一致性和效率的前景.
- 为了遵守法规和道德标准,需要进一步的细化和人类监督.
- 人工智能和人类专家之间的合作对于优化知情同意流程至关重要.
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