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| Strategies For Reducing Population Costs: Data Mining Tactics for ACOs Facing Greater Downside Risk | ||
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Under the final
rule for the 2019 Medicare Shared Savings Program (MSSP) "Pathways to Success"
ACOs have a shortened timeframe before they must move to downside risk.
Under the new rule, there will be a more urgent need for ACOs to reduce
population costs. Two major tactics are typically implemented by health plans and ACOs to reduce population costs: demand management and supply management. This Milliman presentation focuses on supply management and, in particular, data mining tactics that identify medically unnecessary services. There is well-established support for the significant opportunity to reduce medically unnecessary utilization. The Dartmouth Atlas of Health Care reports significant variation in Medicare fee-for-service (FFS) rates of surgical procedures, end-of-life costs, chronic illness care, prescription drug use, and more. The Institute of Medicine report identified one-third of healthcare spending as unnecessary, including spending associated with failures of care delivery, failures of care coordination, overtreatment, administrative complexity, pricing failure, and fraud and abuse. The Milliman Health Cost Guidelines benchmarks identify approximately one-third lower healthcare costs for Medicare populations when comparing national average ("loosely managed") to 10th percentile best-performing ("well managed") health systems on a risk-adjusted basis. Please join us on Thursday, March 21, 2019 as Milliman's Kate Fitch highlights several data mining tactics that ACOs can consider in their efforts to reduce utilization and cost. Click here for detailed information and to register or call 209.577.4888. |
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In addition to the main faculty presentation, this event includes a fun whiteboard drawing format opening video, a brief moderated faculty interview, and concluding live audience questions and answers. |
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