ICDA: A Platform for Intelligent Care Delivery Analytics

The identification of high-risk patients is a critical component in improving patient outcomes and managing costs. This project explores system design and architecture challenges for medical informatics platforms that support analytics and interactive visualization components   The Intelligent Care Delivery Analytics platform (ICDA) is a prototype system which enables a broad range of risk assessment analytics that process large collections of dynamic electronic medical data to identify at-risk patients. ICDA works by ingesting large volumes of data into a common data model, then orchestrating a collection of analytics that identify at-risk patients. It also provides an interactive environment through which users can access and review the analytics results. In addition, ICDA provides APIs via which analytics results can be retrieved to surface in external applications.

Publications

David Gotz, Harry Stavroppoulos, Jimeng Sun, and Fei Wang.  ICDA: A Platform for Intelligent Care Delivery Analytics. American Medical Informatics Association Annual Symposium (AMIA), Chicago, IL (2012).
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