Predictive
Modeling Bulletin
| October 6,
2011
| Volume
Three
Issue Ten |
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"Retrospective or prospective bundled payments focused on a specific episode or type of care offer many advantages over one-CPT-code-at-a-time, retrospective fee-for-service payment. But such reimbursement mechanisms require sensitivity to important risk factors that are likely to influence patient costs. Predictive modeling or, more specifically, risk adjustment will be critical to payers and IDSs/ACOs wishing to ensure that each ‘bundle’ fairly considers other risk factors (e.g., multi-morbidity, severity) that may impact the costs and difficulty of providing care." Jonathan Weiner DrPH, Professor, Health Policy and Management; Director, PhD Program in Health Services Research and Policy; Deputy Director, Health Services Research & Development Center, Johns Hopkins University |
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Predictive Analytics and Rules Work Together to Combat Fraud
Employee health risks may be identified by predictive modeling
How CMS’s Newest Fraud Prevention Tool Works and What It Means for
Providers
Can business intelligence save health care?
How predictive analytics can deliver strategic benefits
Better Analytical Computer Tools Help Cut Medicare Fraud
Predictive Modeling Technology from HHS Could Enhance Payor Compliance
Programs |
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Predictive Modeling Bulletin is a complimentary publication issued periodically from the Health Policy Publishing, LLC, the publisher of Predictive Modeling News (www.PredictiveModelingNews.com) Your friends and colleagues can subscribe to Predictive Modeling Bulletin at no charge by visiting: www.predictivemodelingnews.com/resources.html |
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