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Activity Number:
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238
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Type:
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Roundtables
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Date/Time:
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Tuesday, August 4, 2009 : 7:00 AM to 8:15 AM
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Sponsor:
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Section on Health Policy Statistics
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| Abstract - #305684 |
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Title:
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Predictive Modeling of Health Care Outcomes for Underwriting and Disease Management: Industry's Lessons, Trends, Comparative Studies
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Author(s):
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Ognian K. Asparouhov*+
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Companies:
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MEDAI, Inc.
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Address:
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4901 Vineland Rd., Ste. 450, Orlando, FL, 32811,
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Keywords:
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predcitive modeling ; health-care outcomes ; industry experience ; comparative studies ; recently developed models ; future models
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Abstract:
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Predictive Modeling (PM) has been used for more than 10 years in health insurance industry for disease management and underwriting purposes. In this roundtable, we will consider different applications of PM for prediction of: different components of the cost (total, acute, Rx, etc.); inpatient admission, emergency room visits; specific diseases' future complications as a main reason for high future cost; impactable members; employer group's cost (small group renewal underwriting); ROI (acute and chronic components). The results of a few comparative studies with large real data sets (with hundred of thousands or more than a million of members) will be presented. We will discuss as well the clients' experience about how is PM being used in health insurance (underwriting and disease management) today? We will briefly discuss some industry trends: recently developed and future models.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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