弥合模型与现实之间的差距:为面向对象的医院信息系统开发研究环境,将人工智能和机器人纳入临床实践
Sidra Rashid1, Lukas Bernhard1, Sonja Stabenow1
1MITI Research Group, TUM School of Medicine and Health, University Hospital rechts der Isar, Ismaninger Str. 22, 81675, Munich, Bavaria, Germany.
概括
一个新的面向对象的医院信息系统 (oHIS) 框架,OMNI-SYS,有助于将人工智能 (AI) 和医疗机器人 (MR) 等未来技术整合到患者护理中. 这种务实的数字双胞胎方法使模型和现实世界的代理商之间实现实时交互.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 计算机科学在医学中的应用
背景情况:
- 目前的医院信息系统 (HIS) 缺乏灵活性来实现先进技术的整合.
- 卫生信息系统主要是管理工具,而不是全面的管理解决方案.
- 将人工智能 (AI) 和医疗机器人 (MR) 整合到HIS中受到不灵活的架构的阻碍.
研究的目的:
- 概念化和开发一个面向对象的HIS (oHIS) 作为一个务实的数字双胞胎 (PDT).
- 创建一个功能性研究框架 (OMNI-SYS),以弥合模型和现实世界医院运营之间的差距.
- 为了使未来技术能够无地融入临床实践.
主要方法:
- 对外科病房的跨学科要求评估.
- 设计和开发OMNI-SYS研究框架.
- 通过模拟的临床用例对框架的评估.
主要成果:
- 未来防范的HIS研究不足,对新技术集成的准备不足.
- oHIS框架允许人类代理,设备,模型和机器人在PDT中进行交互.
- 在模拟的用例中实现的功能对象表示,使实时交互成为可能.
结论:
- oHIS可以显著促进人工智能模型和MR的整合.
- 欧姆尼-SYS框架是该领域未来研究的基石.
- 为了潜在的标准化,计划进行临床应用研究和正式化.
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