학술논문
An experimental platform for interpreting open-source health data though integration with dynamic disease models and geoplots
Document Type
Conference
Author
Source
2015 17th International Conference on E-health Networking, Application & Services (HealthCom) E-health Networking, Application & Services (HealthCom), 2015 17th International Conference on. :97-101 Oct, 2015
Subject
Language
Abstract
We report our work in progress to create an experimental decision support architecture for evidence-based health policy planning employing open data records. It combines a population-level disease control and prevention simulation with de-identified data for patients hospitalized with diabetes in Albany County, New York, USA over a period of years. The geo-coding associated with this combined dataset is visualized through dynamic plots of neighborhood hot-spots over multiple years. This multi-model approach provides a novel tool for reflecting on historical data, policy choices and possible long-term outcomes in numeric and geo-space.