Utilizing Data-Driven Decision Support Systems to Reduce Readmission Rates for Patients with Congestive Heart Failure
Physicians currently attempt to identify CHF patients that are likely to be readmitted within 30 days. However, the readmission rate for these patients remains over 20%. Data-driven decision support systems can provide an additional tool to understand which patients are at high-risk of readmission. We create a statistical model to utilize patient-specific information to not only more accurately identify the patients most likely to be readmitted, but also why – whether for condition-related reasons or not. This allows physicians to suggest patient-specific readmission prevention strategies.