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On-Demand Artificial Intelligence and ADS RIS

 

Improve Coding Accuracy. Streamline Billing. Reduce Denials

Join Steve Hamburg, Director of Radiology at ADS, for a live session demonstrating how AI-assisted coding helps radiology organizations improve coding accuracy, streamline workflows, and strengthen revenue performance.

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Webinar Overview

Coding accuracy and documentation requirements continue to grow more complex as reimbursement pressure increases.

Many radiology organizations still rely on manual coding workflows that create administrative burden, delay billing, and increase the risk of missed codes or preventable denials.

In this session, ADS Director of Radiology Steve Hamburg will demonstrate how AI-powered coding technology helps radiology teams identify diagnosis codes more efficiently, support accurate documentation, and streamline the transition from coding to billing.

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3-Mar-25-2026-02-21-59-5820-PM

See AI-Assisted Coding in Action

In this session, we’ll walk through:

• The coding challenges radiology teams face today
• How AI reviews clinical documentation and suggests diagnosis codes
• How coders validate AI recommendations using a human-in-the-loop approach
• How coding flows seamlessly into billing workflows
• How automation integrates into existing workflows without disruption
• How AI supports coding teams by reducing repetitive manual data entry
• A live demonstration of the technology

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3-Mar-25-2026-02-21-59-5820-PM
2-Mar-25-2026-02-21-59-6517-PM

Who Should Attend?

This session is designed for radiology organizations looking to improve coding accuracy and streamline billing workflows.

Ideal attendees include:

• Radiology Practice Managers
• Radiologists and Clinical Leaders
• Coding & Billing Teams
• Revenue Cycle Leaders
• Healthcare IT Administrators

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2-Mar-25-2026-02-21-59-6517-PM
1-Mar-25-2026-02-21-59-6605-PM

Why This Matters

Coding errors, missed documentation, and manual workflows can slow billing cycles and impact reimbursement.

AI-assisted coding helps radiology teams identify documentation opportunities, streamline coding workflows, and reduce administrative burden.

Radiology organizations are increasingly exploring AI-assisted coding as they face:

• Increasing coding complexity and documentation requirements
• Documentation gaps that can delay billing and reimbursement
• Administrative workload caused by manual coding and data entry
• Growing pressure to improve billing efficiency as imaging volumes increase

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1-Mar-25-2026-02-21-59-6605-PM

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