Predictive Analytics: A Foundation for Care Management
February 20, 2017 — 01:30PM EST - 02:30PM EST
Orange County Convention Center
Two clinical care management leaders from St. Joseph Healthcare, a community health system in Maine, will provide practical advice for integrating predictive analytics into care management programs to prepare for risk-based contracts and manage patients across the care continuum.
Their analytic software is powered by real-time clinical data from their state HIE and is used to identify patients at risk for serious illness, high costs, and repeat services. They will walk attendees through their care management processes, specifically, how to implement proactive care plans. They will explain that since redesigning care management, they’ve dropped below the state average on a number of measures for patients in their practices. In one year, 30-day hospital readmissions fell 13% below the state average, hospital admissions fell by 4.2%, ER visits by 15% and 30-day ER return visits by 9.5%. St. Joseph also was 12% below for inpatient days, 5% in cost per person and 37% in hospital mortality.
Identify essential elements of a successful care management program redesign
Integrate predictive analytics tools into a health system’s care management program
Assess and communicate results from use of care management processes and tools
Compare machine learning predictive risk models to traditional measures used to identify high risk patients
Describe how existing real-time clinical data provides actionable and accurate predictions