| 摘要 |
Population-level health outcomes are observed by using millions of granular, de-identified health elements in electronic patient records. A GIS is integrated with EHR-derived data and uses data mining tools to spatially analyze EHR data, including proper selection of appropriate EHR data fields, retrieving EHR data (using three ubiquitous reporting languages), cleaning, and de-identifying the data. The cleaned EHR data are mapped against multiple geographic/environmental data layers in the GIS, and statistical spatial analyses of the EHR data are performed in a SQL database using data mining tools. |
