参与共创一个人工智能支持的患者信息系统:一个多方法定性研究
Carolin Heizmann1,2, Patricia Gleim1,2, Philipp Kellmeyer1,2
1Human-Technology Interaction Lab, University of Freiburg - Medical Center, Freiburg im Breisgau, Germany.
Studies in health technology and informatics
|May 17, 2025
概括
KIPA系统是一种使用自然语言处理的人工智能工具,增强了患者对医疗同意过程的理解和参与. 这项技术通过提供可访问的信息和减少患者的不安全感,简化了医疗保健.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 放射学 放射学是一门学科.
背景情况:
- 传统的基于纸张的知情同意表在医疗保健中存在挑战,原因是复杂的术语和资源密集性.
- 患者经常难以理解复杂的医疗信息,这会影响知情同意的质量.
- 现有的同意流程对患者和医疗保健提供者来说都很繁重.
研究的目的:
- 探索参与式共同创建KIPA系统,一个人工智能辅助的患者信息系统.
- 通过增强患者的理解和参与,改进放射学中的知情同意过程.
- 为了减少与患者信息和同意相关的医疗保健工作负担.
主要方法:
- 采用了一种多方法的定性方法,专注于参与式共同创造.
- 进行了用户反,访谈和可用性测试,以确定系统要求.
- KIPA系统使用自然语言处理 (NLP) 来实时解释和回答问题.
主要成果:
- 初步结果表明,KIPA系统改善了患者的参与度,并减少了不安全感.
- 该系统提供积极的指导和量身定制的信息,使同意更容易获得.
- 一个"设计时的道德"方法确保了系统与患者和临床医生的需求保持一致.
结论:
- 像KIPA这样的人工智能辅助系统有可能显著改善医疗保健中的知情同意过程,特别是在放射学方面.
- 参与式共同创作方法确保开发的技术以用户为中心,并满足现实世界的需求.
- 需要进一步的研究来评估该系统对临床工作流程的影响,并将其应用扩展到其他医学领域.
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