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By John Talbot, Ph.D.

Monday, January 25, 2010

There is increasing policy discussion among both private and public payers of the need to move away from fee-for-service reimbursement to pay-for-performance purchasing models or reimbursements models other than fee-for-service (case rates, episodic payment, etc.) OPEN MINDS has covered these developments over the past few months:

As these new reimbursement methodologies evolve, the challenge for execs in care delivery systems is to develop management systems that can guide clinical decisionmaking. The best solution is to harness the power of existing information systems (particularly existing electronic health records) and use predictive modeling. The use of predictive modeling to evaluate the efficacy of clinical services was presented at the 2009 OPEN MINDS Institute for Behavioral Health Informatics Thomas W. Doub, Ph.D., Chief Operating Officer and Casey Bennett, MA, Data Architect, both with Centerstone Research Institute (CRI). Using their approach, CRI has been able to predict treatment response for more than 70% of consumers—and to better match treatment protocols to consumer conditions.

To access Dr. Doub’s and Mr. Bennett’s presentation “Predictive Modeling as a Foundation for Selection of Clinical Interventions” all members. And, if your organization has employed predictive modeling techniques to strategic analyses, we’d love to hear about it. Just send a message to

John Talbot, Ph.D.
Executive Vice President, OPEN MINDS

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For more, access a presentation from the 2009 Institute for Behavioral Health Informatics, given by my colleague Joe Naughton-Travers, Ed.M., “Using Informatics to Gather Predictive Information and Select Optimal Clinical Practices,” free for the next sixty days to all registered OPEN MINDS Circle members.

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