אודות פרק זה
Autonomous coding doesn't fail because of the AI. It fails because of weak documentation, undocumented logic decisions, and missing physician engagement. Kelly Pearson, Director of Coding and CDI at MercyHealth, joins RCM Reframed to share the operator playbook behind their autonomous coding rollout, including what she would do differently with a second chance.
Kelly walks through the operational pain points that drove MercyHealth to AI (coder shortages, pre-AR delays, backlog pressure), how the team assessed AI readiness through documentation quality, and why a layered audit model with 100% review at go-live was non-negotiable. She also explains the four-month implementation moment that prompted MercyHealth to create a dedicated coding project manager role, and how provider trending data is now driving targeted physician education.
What you will take away:
* Why documentation readiness, not AI capability, determines success
* How to structure a layered audit model that scales without removing oversight
* Why a dedicated coding project manager is essential from day one * How to engage physician advocates early and use AI trend data for targeted education
* The future of the coder role: validation, analytics, education, and AI governance
Subscribe for more conversations with revenue cycle operators who've actually done the work.
Learn more about GetixHealth: getixhealth.com
Connect with Kelly Pierson: https://www.linkedin.com/in/kelly-pierson-cpc-crc-499848145/
תעתיק 🔗
פרקים אחרים בפודקאסט הזה
