Fernanda Bravo

My research on healthcare operations management focuses on aligning incentives, increasing efficiency, and improving access to services.     I concentrate on three key areas: (1) Healthcare payment policy, (2) Drug policy design, and (3) the use of predictive and prescriptive analytics in healthcare decision-making. 

These areas are vital for successful healthcare reform in the U.S., addressing inefficiencies and improving patient health. However, they involve complex interactions. For instance, policies aimed at reducing hospital inefficiencies may inadvertently discourage physicians from providing optimal care. Over-regulation of drug development to ensure patient safety could potentially hinder technological innovation.  I analyze intricate dynamics in these settings by employing diverse methodologies such as game theory, queuing theory, optimization, and machine learning (ML) to identify critical trade-offs. The insights from my research can guide policymakers and stakeholders in healthcare service contracting, promoting medical innovations, and resource allocation.