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Drivers of Healthcare Analytics

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Presentation on theme: "Drivers of Healthcare Analytics"— Presentation transcript:

1 Drivers of Healthcare Analytics

2 Medicine is Changing FROM a craft-based practice, in which individual physicians, working alone, create a customized solution for each patient based on their personal knowledge and training and a core ethical commitment to the patient. TO a profession-based practice, organized around patient or disease state, where groups of peers, treating similar patients in a shared setting, execute coordinated care delivery processes using agreed upon clinical guidelines and disease management protocols. This transformational change in the medical delivery model is being driven by payment reform, and will be accompanied by: individual physician autonomy and hierarchy replaced by clinically integrated, team-based systems of care greater provider accountability for population health costs and outcomes a significantly higher level of provider financial risk 2

3 How Healthcare is Currently Purchased
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4 Alternative Value Based Payment Models
Fee for Service P4P Shared Savings Bundled Payments Shared Risk Capitation Limited Integration Moderate Integration Full Integration Provider Financial Risk Payer Financial Risk 8

5 Clinical Organization and Delivery
Payment Model Clinical Organization and Delivery IT/Analytics FFS P4P organized around medical specialty and hospital disease focus, one patient at a time hierarchal culture and high physician autonomy low provider accountability for cost and quality of care limited EMR interoperability limited provider financial risk Access databases and spreadsheets retrospective dashboards payer provided performance reports disparate EMRs Shared Savings low-to-moderate clinical integration and physician- hospital alignment some proactive chronic care and complex case management, though most visits still reactive to patient complaints payer-defined patient care protocols and risk stratification modest provider accountability for cost and quality of care for a defined patient population moderate level of provider financial risk early stage predictive analytics payer provided risk scores and performance reports early stage EMR interoperability

6 Clinical Organization and Delivery
Payment Model Clinical Organization and Delivery IT/Analytics Bundled Payments increasing clinical integration and physician-led care coordination teams use of provider-defined, evidence based care management protocols patient care cost, quality and outcomes actively monitored and reported patients actively engaged in their care quality control systems reduce variation and minimize error meaningful provider financial risk mature predictive analytics capability provider defined cost, quality and outcome measurement and reporting advanced EMR interoperability or single, system-wide EHR Shared Risk Capitation providers organized around patient and population needs system-wide acceptance and adherence to provider defined care protocols clinically integrated, team-based systems substitute for hierarchy and result in seamless care for patients care quality transparent and value-oriented internal data warehouse collects data from multiple sources for sophisticated health risk modeling significant provider financial risk sophisticated population/process analytics capability fully integrated clinical and financial data systems HIEs and EMR interoperability provide a real-time, longitudinal patient view


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