This document summarizes a discussion between Christy Gilchrist from Wellspan Health and Todd Tullis from goBalto on using site intelligence and predictive analytics to improve clinical trial feasibility assessments, site selection, startup, and performance evaluation. Some key points discussed include: 1) Using data analysis of electronic health records and epidemiological models to better predict patient enrollment expectations and feasibility at sites. 2) Measuring site and sponsor responsiveness to startup tasks in real-time to facilitate faster resolution of issues. 3) Evaluating site performance against enrollment goals, compliance goals, and business goals to help sites improve for future trials. 4) Sharing post-study performance data with sites to build