Study Details

Clinical Prioritization Using Simulation Modeling

Jonathan B. Brown, Principal Investigator
Gregory A. Nichols, Wiley Chan, Allen Russell, Co-Investigators

 Clinicians and patients with complex chronic illness like type 2 diabetes face numerous potential treatment choices at every primary care visit. Computer modeling reveals that the value of these choices is extremely sensitive to individual patient characteristics. Committee-developed printed guidelines cannot capture the complexity, and because of this, are not always used. Validated computer models have the potential to do much better. NLM MODEL will test the GDM by comparing its recommendations against the actual clinical choices of the actual primary care clinicians. This test will estimate the total per patient saving over a twenty year period, compared with quality-adjusted life- expectancy. It will also measure the improvements the GDM could offer of current treatments.
Funding source: Glaxo SmithKline

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