AI Audit Ready RCM

AI Audit Ready RCM

AI is reshaping revenue cycle management (RCM)— but is it compliant? We provide a concise set of guardrails to make sure your AI-driven RCM is audit-ready.

Start with immutable audit trails that record AI decisions, data sources, and model versions. Require regular bias and fairness assessments that cover demographic and payer-related impacts. Maintain documentation standards: data lineage, validation results, change logs, and approved use cases. Map AI outputs to medical coding, billing, privacy, and audit controls so you can demonstrate quality, integrity, and compliance under scrutiny.

And who verifies this independently? We do — P3 Quality assesses performance, uncovers gaps, and helps you identify them before regulators or payers do. Please let us know if you would like a short checklist you can use today. Read more: https://wix.to/XBeMxwF 🔎✅ #HealthcareCompliance #AIGovernance #RevenueCycleManagement

About the Author

Corliss Collins, BSHIM, RHIT, CRCR, CCA, CAIMC, CAIP, CSM, CBCS, CPDC, serves as the Principal and Managing AI Consultant of P3 Quality, a Healthcare Tech and Consulting Company. Ms. Collins stays very busy working on AI projects in RCM Epic and Cerner Research and Development. She also serves as a subject matter expert and a member of the Volunteer Education Committee for the American Institute of Healthcare Compliance (AIHC). She is a Member of the Professional Women's Network Board (PWN).

Disclosures/Disclaimers:

AI Audit Ready RCM. This analysis draws on research, trends, and innovations in the AI in Revenue Cycle Management (RCM) industry. Some P3 content and details are generated by AI. Reasonable efforts have been made to ensure the validity of all materials and the consequences of their use. If any copyrighted material has not been appropriately acknowledged, use the contact page to notify us so we can make the necessary updates.