通过人工智能实现的"互联网加医疗保健"模式的演变:开发和应用门诊分离系统
Lingrui Yang1, Jiali Pang2, Song Zuo1
1Clinical Research and Innovation Unit, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Journal of medical Internet research
|October 30, 2024
概括
一个新的人工智能驱动的门诊分拣系统准确地推亚专科部门,减少患者等待时间和改善医院资源配置. 这种先进的系统提高了中国三级医院的患者护理效率和满意度.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 医院管理 医院管理
背景情况:
- 由于医疗知识有限,中国三级医院的患者面临着识别专业门诊部门的挑战.
- 现有的医疗保健系统在有效引导患者到适当的医疗专家方面扎.
研究的目的:
- 开发一个精确且可分化的门诊分拣系统,以增强患者护理体验和便利性.
- 改进为患者的专业医疗部门的识别.
主要方法:
- 利用395,790个电子医疗记录 (EMR) 和500个医疗对话来训练和测试基于BERT的分拣模型.
- 评估了新华医院系统推准确度和取消率.
- 进行了一项前性研究,将人工智能系统的性能与人类分拣护士进行比较.
主要成果:
- 人工智能分类系统在推79个子专业部门方面实现了高准确度 (0.8945).
- 降低注册取消率从3.83%降至3.53%.
- 在召回3 (0.6230对0.5266) 和显著减少时间消耗 (10.11对14.33秒) 中表现优于分拣护士.
结论:
- 人工智能分类系统表现出高准确度,并且在推子专业部门方面表现出色.
- 该系统有效地降低了取消率和时间消耗,提高了医疗资源利用率.
- 提高医院的效率,扩大效率,并提高患者的满意度在三级保健机构.
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