WEBINAR: Infinx — AI Coding for Hospital Radiology Departments
(Shared from Infinx)
When: Thursday, December 11, 2025 — 2:00pm ET
Register: Infinx
Radiology departments face increasingly complex coding workflows due to chargemaster dependencies, manual diagnosis coding, and heightened compliance scrutiny. Infinx’s Office Hours session takes a realistic look at how AI-driven autonomous coding is evolving to address these challenges while maintaining coder oversight and auditability.
Featuring insights from Stacie Buck, Director of Coding Compliance at Maverick Medical AI, the conversation highlights accuracy improvements, administrative burden reduction, and how AI can support rather than replace coding teams. Administrators and IT leaders evaluating automation tools will gain a clearer understanding of technical requirements, workflow integration points, and compliance considerations.
This is an excellent resource for hospital practices planning coding modernization initiatives or aiming to reduce denials and backlogs.
Learning Objectives:
- Identify the top challenges hospitals face in radiology revenue cycle management that make automation essential.
- Understand why traditional chargemaster and order-based coding models fall short in complex imaging environments.
- Explore compliance and medical necessity risks tied to manual and EHR-assigned diagnosis codes.
- Learn how autonomous coding supports quality, transparency, and coder confidence in radiology.
- Examine how hospital attitudes toward AI in radiology coding are evolving as trust and maturity grow.
