基于HL7 FHIR和OMOP共同数据模型的电子健康预防记录
Markus Falgenhauer1, Aaron Lauschensky1, Karl Kreiner1
1AIT Austrian Institute of Technology GmbH, Graz, Austria.
Studies in health technology and informatics
|April 29, 2024
概括
行为风险导致奥地利40%的死亡,但可以预防. 本研究概念化了使用HL7 FHIR和OMOP CDM的电子预防记录系统,用于个性化健康管理和降低风险.
科学领域:
- 数字健康数字健康
- 预防医学 预防医学
- 医疗信息学 医疗信息学
背景情况:
- 行为风险在奥地利约占所有记录死亡的40%.
- 这些可预防的风险凸显了需要有效的公共卫生干预和个性化的预防策略.
研究的目的:
- 将电子健康记录 (EHR) 和电子医疗记录 (EMR) 的概念扩展到电子预防记录.
- 在数字卫生框架内,专注于初级和二级预防策略.
- 为一个多学科网络开发一个结构化的预防路径概念.
主要方法:
- 该研究概念化了基于P4医学原则的结构化预防途径.
- 使用HL7 FHIR标准和OHDSI OMOP常用数据模型设计了一个IT基础设施.
- 拟议的IT解决方案包括健康应用程序,网络服务,决策支持和智能注册表.
主要成果:
- 开发了一种概念性IT解决方案,以支持结构化和模块化预防途径.
- 该系统可实现个性化的预防管理,风险评估和诊断/预防措施.
- 它具有模块化,可互操作的IT基础设施,将主要和次要数据使用分开.
结论:
- 建立了一个电子健康预防记录的概念框架.
- 使用HL7 FHIR和OMOP共同数据模型概述了实施策略.
- 该概念支持积极主动地对待健康和疾病预防.
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