一个集成的AI云共享框架用于医疗保健中的预测AI和生成AI
Chia-Jung Chen1, Yi-Shun Fang2, Chung-Feng Liu3
1Department of Information Systems, Chi Mei Medical Center, Taiwan.
Studies in health technology and informatics
|May 17, 2025
概括
奇梅医院开发了一个AI云框架,集成预测和生成AI应用程序. 该框架增强了医疗文档,并分享了人工智能服务,以减少医疗保健差异.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 人工智能在医学中的应用
- 云计算在医疗保健中的应用
背景情况:
- 奇梅医院在2019年建立了一个私有云AI服务框架,集成HIS,数据检索和AI网络服务.
- 最初的部署侧重于多个成功的预测性AI (PAI) 应用程序在各种医院部门.
研究的目的:
- 集成先进的AI服务,包括Azure OpenAI GPT®模型和Vocol®语音到文本,用于生成AI (GAI) 应用程序.
- 利用集成人工智能云共享框架,与外部医疗机构安全共享人工智能服务.
- 扩大人工智能服务的可访问性,旨在弥合医疗保健数字沟,促进健康公平.
主要方法:
- 开发一个私有云AI服务框架与HIS接口,数据检索和AI网络服务.
- 集成Azure OpenAI GPT®模型和Vocol®语音到文本AI服务,以实现生成性AI功能.
- 实施一个集成的AI云共享框架,以确保医院间AI服务的安全传播.
主要成果:
- 在紧急,麻醉和ICU等关键部门成功部署了30多个预测AI系统.
- 生成型人工智能应用程序正在积极用于医疗文档,大大减少了员工的工作量,提高了内容质量.
- 通过集成人工智能云共享框架,与两个外部医院安全共享AI服务.
结论:
- 综合人工智能云共享框架促进了先进的人工智能服务的安全和高效共享.
- 扩大人工智能服务共享的目标是民主化对尖端医疗技术的访问.
- 该倡议表明了通过人工智能创新减少医疗保健差异和促进全球医疗保健平等的承诺.
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