用FHIR转变医疗保健分析:标准化和分析临床数据的框架
Muhammad Ayaz1, Muhammad Fermi Pasha1, Tahani Jaser Alahmadi2
1Malaysia School of Information Technology, Monash University, Bandar Sunway 47500, Selangor, Malaysia.
Healthcare (Basel, Switzerland)
|June 28, 2023
概括
本研究引入了使用快速医疗互操作性资源 (FHIR) 的数据分析框架,以支持临床统计和分析. 该框架为医疗保健专业人员和研究人员提供了基于FHIR的临床数据的高效数据分析.
科学领域:
- 医疗信息学 医疗信息学
- 临床数据分析
- 医疗保健信息系统 医疗保健信息系统
背景情况:
- 临床数据分析对于医疗保健见解至关重要.
- 现有的系统往往缺乏用于高级分析的互操作性和可扩展性.
- 像FHIR这样的标准化数据模型为改进数据利用提供了潜力.
研究的目的:
- 开发一个可扩展的临床统计数据分析框架.
- 为了利用快速医疗互操作资源 (FHIR) 标准进行数据分析.
- 为了促进以患者为中心和基于队列的交互分析,使用FHIR API.
主要方法:
- 在FHIR数据上开发了一个用于临床数据分析的智能算法.
- 使用FHIR API设计了用于患者登记和实验室信息系统的工作流程.
- 实施了一个FHIR数据库,用于描述性数据分析 (DDA) 和队列选择.
- 创建了一个DDA的原型用户界面,具有数据可视化功能.
主要成果:
- 展示了框架能够从FHIR资源中生成各种分析的能力.
- 成功促进了以患者为中心和基于队列的分析.
- FHIR数据库的实施支持有效的DDA和队列选择.
结论:
- 拟议的基于FHIR的框架有效地支持临床统计和数据分析.
- 该框架增强了对临床数据在研究和医疗保健环境中的利用.
- 这种方法为交互式医疗数据分析提供了一个可扩展的解决方案.
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