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Predictive Modeling: A Guide for State Medicaid Purchasers

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Topics: Managed Care | Medicaid | Spending | State Data

This Center for Health Care Strategies Inc. (CHCS) guide was developed to assist state Medicaid agencies use predictive modeling to identify and prioritize individuals for care management.

From the introduction:

Predictive models are data-driven, decision-support tools that estimate an individual’s future potential health care costs and/or opportunities for care management. Most commercially available PM tools classify individuals into future cost categories with a focus on high-cost cases. A few tools add a second component — commonly referred to as “impactability” — to identify patients who will potentially benefit from care management. Adapting PM tools to address the Medicaid population’s intense and complex array of needs — ranging from physical and behavioral health comorbidities to socioeconomic issues — is a critical consideration for states that are planning to use PM. This holds true for states buying off-the-shelf tools as well as those with the analytical capabilities to build and/or customize PM tools in-house.

Full report: Predictive Modeling: A Guide for State Medicaid Purchasers (PDF | 459.33 KB)exit disclaimer small icon

Center for Health Care Strategies, Inc. (2009). Predictive modeling: a guide for state Medicaid purchasers. Knutson, Dave; Bella, Melanie; and Llanos, Karen.   


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