点:地标和邻里数据的离线转换和集成的管道
Kevin Guo1, Allison B McCoy2, Thomas J Reese2
1School of Medicine, Vanderbilt University, Nashville, Tennessee, United States.
Applied clinical informatics
|August 4, 2023
概括
POINT 是一个离线的地理编码应用程序,它成功地用高精度的地理编码地址. 这种符合HIPAA标准的工具简化了获得社区层面的健康数据的社会决定因素,以提供个性化护理.
科学领域:
- 医疗信息学 医疗信息学
- 地理信息系统 (GIS) 是指地理信息系统.
- 公共卫生研究 公共卫生研究
背景情况:
- 地理编码对于将患者地址与社区健康社会决定因素 (SDOH) 联系至关重要.
- 由于隐私问题,现有的地理编码方法可能不适合处理敏感的患者数据.
- 在医疗保健中需要高效,准确和符合HIPAA的地理编码解决方案.
研究的目的:
- 开发和评估POINT,一个集成的离线地理编码管道.
- 使研究人员和卫生系统能够获得社区级SDOH估计.
- 支持基于患者环境的个性化护理和干预措施.
主要方法:
- 开发了POINT,这是一个基于Web的,容器化的,离线的地理编码应用程序,具有GUI和API.
- 使用两个数据集进行评估:100万个开放地址和3096个地理编码的患者地址.
- 评估地理编码的成功率,人口普查区的一致性,以及与参考数据的协调准确性.
主要成果:
- 实现了高地理编码成功率:开放地址为99.4%,患者地址为99.8%.
- 证明了高的人口普查公路分配一致性 (>90%) 与两个数据集的参考数据.
- 据报道,各自数据集的地理编码距离中位数为52.5m和14.5m,表明准确性很好.
结论:
- POINT提供了一个可扩展的,符合HIPAA的解决方案,用于在线地理编码敏感的患者地址.
- 该应用程序提供了与现有的地理编码器可比的准确性,同时保护了患者的隐私.
- POINT促进了社区层面变量的整合到健康研究和临床实践中,以推进健康公平.
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