将大型语言模型集成到产科电子健康记录中:葡萄牙的MedGPT使用案例
Vinícius Lima1, Rute Almeida1, Filipe Bernardi1
1RISE-Health, MEDCIDS, Faculty of Medicine, University of Porto, Portugal.
Studies in health technology and informatics
|October 3, 2025
概括
这项研究介绍了MedGPT,一种使用大型语言模型的AI工具,通过总结患者数据和帮助临床医生来改善产科护理. 它旨在增强患者参与度,并应对孕产妇医疗保健方面的挑战.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 产科和妇科 产科和妇科
背景情况:
- 像ObsCare这样的产科电子健康记录 (EHR) 系统收集重要的孕产妇健康数据.
- 葡萄牙在产科护理方面面临诸多挑战,包括劳动力短缺,剖腹产率上升以及母亲年龄的增加.
研究的目的:
- 将微调的大型语言模型 (LLM) 集成到ObsCare EHR系统中.
- 开发MedGPT以总结患者的健康旅程,提供决策支持和生成教育内容.
- 通过人工智能驱动的解决方案来解决产科护理中的关键缺口.
主要方法:
- 将LLMs集成到现有的ObsCare电子健康记录系统中.
- 开发用于健康旅程总结,决策支持和个性化患者教育的功能.
- 在欧洲合作中,专注于符合伦理的生成人工智能解决方案.
主要成果:
- 该项目旨在减少临床医生的文档负担.
- 通过个性化内容增强患者参与度.
- 一个正在进行的欧洲合作的初步结果.
结论:
- MedGPT有可能显著提高产科护理效率和患者体验.
- 该项目展示了一种主动的方法,利用人工智能应对医疗保健挑战.
- 在医疗保健中开发这些生成人工智能解决方案时,伦理考虑是核心问题.
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