Model helps predict, analyze decision-making on adopting Type 2 diabetes medical guidelines

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Model helps predict, analyze decision-making on adopting Type 2 diabetes medical guidelines

Health care workers often don’t adopt new guidelines for best practices in medical care until well after those guidelines are established. A team of researchers led by Eunice E. Santos, the dean of the School of Information Sciences at the University of Illinois Urbana-Champaign, has developed a new computational modeling and simulation framework to analyze decision-making and identify effective dissemination strategies for medical guidelines.

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