Inpatient coding teams are under growing pressure to improve accuracy, increase throughput, and manage increasingly complex encounters without adding more manual review. As AI becomes more capable of interpreting the clinical record, coding leaders have a new opportunity to rethink how work is reviewed, validated, and prioritized. In this conversation, Mayo Clinic and Cleveland Clinic will share lessons from applying AI to complex inpatient coding workflows, including how to evaluate performance, build coder trust, and identify where human expertise matters most. Attendees will walk away with a practical framework for assessing AI-supported coding models and preparing their teams for what comes next.

This session is sponsored by AKASA.

This session offers 1 AHIMA CEU.