Accurate patient identification is a critical driver of revenue integrity, yet many healthcare organizations face significant financial losses due to duplicate and fragmented patient records. This session explores how patient misidentification contributes to denied claims, delayed reimbursement, and increased operational inefficiencies, while also impacting quality outcomes and patient experience. Attendees will learn why a clean Master Person Index (MPI) is essential for maximizing the effectiveness of AI-enabled revenue cycle and analytics tools. The presentation outlines practical strategies to reduce duplicate records, prevent future errors, and sustain long-term data integrity. Participants will leave with a clear roadmap to strengthen patient identity management and protect both financial and clinical performance.

This session offers 1 AHIMA CEU.