MIDS Capstone Project Fall 2016

Dr. Art: Diabetes Re-Admission Risk Tool

Each year over 100,000 diabetes patients are readmitted early to U.S. hospitals at a cost of $15 billion. Evidence suggests that even relatively simple interventions can reduce 30-day readmissions by up to a third. With insight into patient readmission risk, hospitals can make the right decisions in order to realize significantly improved health outcomes and reduced costs.

We are using machine learning trained on real-world examples to predict which patients are at highest risk for early admission and to offer insight into why they are at such high risk. Our solution places the right information at the right time into the hands of healthcare professionals so they can intervene in an appropriate and effective manner.

Our clinical decision making tool provides discharge planners, diabetic case managers and physicians with the data they need to assess readmission risk on a patient-level and target appropriate interventions to mitigate risk.

Course

Data Science W210. Capstone - Lecture - 1 - 2016

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Last updated:

March 30, 2017