6 - Predictive Analytic Models – a Must in the Journey to Reducing Readmissions (Case Study)
Allina Health—a 13-hospital health system serving Minnesota and Wisconsin—believes that patients deserve to receive optimum follow-up care and support after discharge from the hospital, an approach that helps to minimize readmissions. Like many health systems nationwide, Allina Health had to prepare for the potential of CMS penalties for poor readmission performance and for emerging pay-for-outcomes reimbursement model.
This session will review the multipronged approach that Allina Health employed to successfully reduce its 30-day potentially preventable readmissions (PPRs). Allina Health will outline the specific actions they took including the development of a predictive analytic model that supports the identification of at-risk patients. The session will also highlight additional actions they identified as key success factors in their journey to reduce readmissions including redesigned care management processes and education programs for patients, families, and clinicians. The results Allina Health has achieved to-date validate that this multipronged approach is a model worth following.