从电子健康记录中获取实时数据:场景和解决方案
1Institute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany.
mHealth
|May 1, 2024
概括
这项研究探讨了电子健康记录 (EHR) 中的实时数据 (RTD) 集成,为高效的医疗数据交换提供REST和WebSockets等解决方案. 提供了参考实现,以推进实时医疗保健应用程序.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 健康数据管理 管理健康数据
- 数字健康数字健康
背景情况:
- 实时数据 (RTD) 集成对于推进电子健康记录 (EHR) 和改变未来的医疗保健服务至关重要.
- 这项研究调查了与在EHR系统中捕捉RTD相关的常见场景和挑战.
研究的目的:
- 探索和分析在医疗保健中实施有效的实时数据解决方案的方法和工具.
- 提供实用的参考实现实时数据捕获和交换在EHRs.
主要方法:
- 研究了使用RESTful API,REST和WebSockets进行RTD交付的发布-订阅模型.
- 评估了包括民意调查,数据库触发器和反向代理程序在内的替代方法,以实现有效的数据更新.
- 在Go和Python中开发了参考实现,包括FHIR订阅资源,WebSocket客户端和SQL数据库触发器.
主要成果:
- 通过使用FHIR REST API展示了通过REST和WebSocket通知实现订阅的实现.
- 提出了反向代理和数据库触发器的设计,并考虑了性能优化.
- 提供了一个GitHub存储库,其中包含参考实现和一个说明RTD流程和好处的临床用例.
结论:
- 捕捉RTD对于医疗保健专业人员和数字医疗保健倡议的成功至关重要.
- 这项工作通过调查常见的RTD场景和EHR中的问题来解决一个尚未探索的领域.
- 提供的解决方案和参考实现可以显著支持实时医疗保健应用程序的开发.
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