He is also an affiliate faculty member at the Pardee RAND Graduate School and a practicing hospital-based internist. His current research assesses quality measurement programs with a focus on estimating the effect of performance measurement programs on patient outcomes. Shetty has also developed methods for better analyzing medical literature, including methods for detecting adverse drug reactions using publication trends within PubMed. In addition, he has researched use of machine learning and text mining for improving the efficiency of conducting systematic reviews for the AHRQ-sponsored Southern California Evidence-based Practice Center. Shetty earned his M.D. from New York University and his M.S. in health service research from Stanford University.