Probability Maps that Predict Healthcare or Marketing Needs for Specific Geographic Regions
- 技術優勢
- Improved accuracy and prediction Compatible with geographical information system (GIS) software
- 詳細技術說明
- Systems and methods for predictingthe occurrence of diseases or other population characteristics within zipcode regions. #healthcare #software#researchtool #method
- *Abstract
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Northwestern researchers havedeveloped systems and methods (software and algorithms) that can accuratelypredict the occurrence of diseases from census and de-identified EHR data. Assessmentof disease burdens in geographical areas is important for planning for use of publicresources and other business activities. As these assessments are traditionallybased on census data, predictions are only as accurate as the area covered by individualzip codes. This poses a challenge to the accurate prediction of disease burdenin underpopulated areas, where the occurrence of a disease may differ at thelevel of streets or blocks. More detailed address information is typically associatedwith electronic health records (EHR); however, EHR data are often unavailableor cannot be shared for patient privacy reasons. This Northwestern technology is able to utilize statistical simulations topredict the occurrence of diseases with geographical resolution smaller thanthe area covered by zip codes (i.e., streets or blocks). The technologyprovides precise and reliable guidanceto the planning of healthcare resources, bringing high value to public sectorsas well as private companies in the healthcare industry.
- 國家/地區
- 美國
