An analytical software application which uses industry-leading AI algorithms to power risk adjustment chart reviews, identifying both missed coding opportunities and unsupported known codes, while complying with audits, thereby generating coding results which provide a comprehensive, accurate view of member risk by, namely, analyzing retrieved patient charts to identify source encounter notes for reported codes, reviewing targeted opportunities leveraging proven AI algorithms to validate the addition or deletion of codes, efficiently review coder decisions along with the supporting data using 1-click quality assurance, tracking coder-level progress productivity, accuracy, and yield with project analytics, and evaluating coding accuracy with a vendor scorecard