开发一个链接的电子健康记录衍生数据平台,以支持健康老龄化研究
Nadine E Andrew1,2, Richard Beare1,2, Tanya Ravipati2
1National Centre for Healthy Ageing, Frankston, Victoria, Australia.
International journal of population data science
|September 6, 2023
概括
建立一个连接的电子健康记录 (EHR) 数据平台使大规模的健康研究成为可能. 这个平台使用人工智能和NLP来策划关于衰老的流行病学研究的操作数据.
科学领域:
- 医疗信息学 医疗信息学
- 流行病学 流行病学
- 老年学是指老年学的学科.
背景情况:
- 电子健康记录 (EHR) 数据的数字化为研究提供了机会,但操作数据需要研究标准的策划.
- 利用大规模的常规EHR数据支持高效的长期流行病学和卫生服务研究.
研究的目的:
- 在国家健康老龄化中心建立一个链接的EHR衍生数据平台.
- 为了使研究能够针对国家卫生重点领域的老龄化.
主要方法:
- 数据验证,策划和存储用于质量保证.
- 终端用户参与和AI管道实施以文本为基础的数据提取.
- 纳入患者报告的结果措施和消费者参与.
主要成果:
- 一个研究数据仓库,拥有超过80万名患者的数据,跨越10年.
- 从11个EHR数据集中确定了117个适合研究的项目.
- 实施的自然语言处理 (NLP) 管道和患者报告的结果措施框架.
结论:
- 对于使用常规数据的基础数据平台,全面的流程至关重要.
- 强大的数据平台有助于未来的数据链接,以实现经济高效的老龄化研究.
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