Coding accuracy sits at the center of both financial performance and clinical efficiency but staffing and resources are not keeping pace for many ASC and orthopedic practices. As pressures increase, practices are turning to AI-powered support to keep pace and avoid falling behind.
As documentation requirements evolve and payer scrutiny increases, small inconsistencies in coding can create downstream denials, delayed payments, and unnecessary administrative burden for physicians and staff. AI-enabled coding tools now help practices address these challenges earlier in the revenue cycle, allowing coders and billers to focus on higher-value work instead of time-consuming, lower-impact tasks.
In this webinar, healthcare leaders will explore how practices across specialties are taking a more consistent, supported approach to medical coding by adopting AI-driven insights and automation. It will focus on practical strategies to improve accuracy earlier in the revenue cycle, reduce avoidable rework and support cleaner claims, all while enabling coding and billing teams to work at the top of their license and deliver greater value to the practice.
You’ll learn:
- How to reduce denials and rework by improving coding accuracy and consistency using AI-powered support
- Where coding issues most often create downstream revenue cycle disruption
- Practical ways to support cleaner claims earlier in the revenue cycle while shifting staff towards higher-impact work
