Complimentary from the publishers of Predictive Modeling News March 4, 2013 | |||||
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"There are (at least) two
versions of the bundled payment concept, a single payment for an entire
episode of care for a patient and the old capitation model, where there
is a single payment for that plan member regardless of whether he or she
received care. Both require population risk stratification incorporating
multiple kinds of sensitivity analysis (health status, severity of
illness and case mix adjustment). Around 2000, the one-size-fits-all
approach of the capitation model was found to be virtually unworkable
for providers, since they lacked the tools and skills to do the PM
necessary to understand the financial risk they were about to assume.
Hopefully, now this won’t be the case. The other payment innovation, a
single payment for an entire episode of care for a patient, is going to
need both population risk stratification and clinical decision-support
predictive modeling.” Lawrence S. Borok, President, Vantage Point
Healthcare Information Systems. |
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Savings of 2% to 7%, depending on the type of
health service, may be obtainable for employer-sponsored coverage and
for the Medicare and Medicaid programs, net of associated contingency
and recovery costs, using predictive modeling tools. Excerpted from: Predictive Modeling News, Volume 6, Number 3, March 2013, Predictive Analytics Could Save More Than $70B Over 10-Year Period |
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Financial Modeling: Predictive Insight into Value-Based Care Success Becker's Hospital Review, February 28, 2013 |
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Can
computers save health care? IU research shows lower costs, better
outcomes IU Newsroom, February 11, 2013 |
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Connected Health Predictive Analytics: A Long Road Ahead Healthcare IT News, February 12, 2013 |
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How predictive analytics data helps your patients--and your business FierceHealthIT, February 11, 2013 |
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Health care fraud and the promise of predictive modeling SAS Voices Blog, February 7, 2013 |
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