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Jaime Caro develops and applies novel techniques in modeling, health economics, comparative effectiveness, epidemiology, and outcomes research. He provides alternative approaches to the well-known Quality-Adjusted Life Year (QALY) model, working on BADI, a broader method of valuing health benefits. He continues to develop DICE, a unified approach to health economic modeling. Caro collaborates with health technology assessment agencies and academic groups to formalize innovation, which enables the rapid and standardized development of decision-analytic models that may often be error-prone. He has adapted discrete event simulation, an engineering technique, to model disease treatments, extending its application to simulate designs for clinical trials and observational studies. This technique is used to provide comparative effectiveness information in the absence of head-to-head trials, utilizing a novel method called Simulated Treatment Comparisons. He promotes the use of simulation to make registries feasible and efficient through an approach termed SAVES. Furthermore, he has proposed innovative methods for the assessment of health technologies involving efficiency frontiers, addressing the growing issue of judicialization in healthcare decision-making.
Department: Department of Medicine. Program: Experimental Medicine.