In Silico Exploration of Care Delivery Innovations

Ozmen, Ozgur ;   Schryver, Jack ;   Shankar, Mallikarjun ;   Weigand, Gilbert ;   Kieltyka, Suzanne

We describe a methodology that integrates data-analytics, modeling, and simulation for healthcare (IDAMS-HC) systems to evaluate care-delivery interventions. Specifically, we study the effectiveness of a diabetes wellness program implemented by Summit Strategic Solutions (SSS) using computer driven (in silico) approaches. We use the term "in silico" to denote data-analysis and computer simulation. Our goal is to search plausible (in the explanatory as well as predictive sense) mechanisms and data models that expose latent influencers such as self-efficacy or social support among attendees.