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ReDWINE:一个具有文本分析能力的临床数据商店,以促进康复研究

David Oniani¹, Bambang Parmanto¹, Andi Saptono¹

¹Department of Health Information Management, University of Pittsburgh, Pittsburgh, PA, USA.

International journal of medical informatics

|July 17, 2023

概括

研究人员开发了ReDWINE,这是一个将电子健康记录 (EHR) 转换为标准格式的数据系统. 这促进了有效的康复研究,使数据分析更容易,并促进了现实世界的证据生成.

科学领域:

康复研究和临床信息学.
卫生服务研究和数据科学.

背景情况:

传统的随机临床试验 (RCT) 用于康复干预是昂贵和耗时的.
使用现有临床数据的观察性研究比RCT有优势.
电子健康记录 (EHR) 是观察性研究的宝贵资源.

研究的目的:

开发一个数据基础设施,以支持使用EHR数据的康复研究.
标准化康复数据,以改善分析和协作.
为了促进健康干预的现实世界证据的生成.

主要方法:

开发了ReDWINE (康复数据市场与信息技术的基础设施用于再研究).
从UPMC转换康复EHR数据到观察健康数据科学和信息学 (OHDSI) 观察医学结果伙伴关系 (OMOP) 共同数据模型 (CDM).
集成的数据可视化,分析工具和开放健康自然语言处理 (OHNLP) 工具包用于大规模的文本分析.

主要成果:

在ReDWINE中的标准化EHR数据减少了数据汇集,协调,清理和分析的时间和精力.
促进队列定义和临床数据分析.
允许高通量自然语言处理 (NLP) 进行文本分析功能.

结论:

通过标准化EHR数据,ReDWINE为康复研究提供了一个强大的平台.
该系统简化了数据分析,使得研究结果更全面.
促进使用现实世界的证据来改善健康干预和患者的结果.

关键词:

临床研究信息学临床研究信息学一个共同的数据模型.电子健康记录电子健康记录信息基础设施信息化基础设施.自然语言处理自然语言处理.康复康复康复康复

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