Fall 2024

This project investigates whether data-driven monitoring and fraud detection tools can improve the effectiveness and efficiency of India’s government health insurance programs. By integrating large-scale administrative data with targeted audits and field-based validation, we aim to identify patterns of suspicious claims, incentivize better provider behavior, and ensure more accurate allocation of public resources. The central innovation lies in harnessing cutting-edge data analysis and large randomized controlled trials to enhance accountability, reduce fraud, and ultimately improve patient outcomes in large-scale health policy interventions.