Associate Professor
Zach Landis-Lewis's global health focus centers on the secondary use of clinical and health-related data to provide feedback to healthcare professionals, aiming to enhance healthcare delivery and improve patient health outcomes. His interests in global health equity align with the Center's themes of strengthening systems for health and developing technical solutions. Landis-Lewis's research investigates the effectiveness of precision feedback, primarily through software applications like SCAFFOLD deployed for large-scale interventions. He aims to support global health researchers in implementing and evaluating precision feedback systems as technical infrastructure for learning health systems in low-resource settings.
