Healthcare providers are under pressure to reduce costs while delivering effective care. Revenue cycle management (RCM) tasks—like coding and claim processing—are critical but burdensome. Providers face staffing shortages, changing payor policies, and increasing denials. Leveraging AI in RCM allows providers to stay competitive—and elevate financial performance to the level that empowers superior patient care. This eBook demonstrates how embedded AI streamlines workflows, reduces costs, and enhances the patient experience.

Cut through the hype and buzzwords with five concrete examples of how AI tangibly impacts revenue by:

1. Capturing third-party insurance accurately
2. Calculating accurate patient responsibility estimates
3. Helping effectively manage negotiated rates and expect pricing
4. Simplifying interactions with payors—and translating their responses into actionable next steps
5. Optimizing claim reimbursement through AI-driven exception processing (EP) workflow

Read this e-book to:

• Understand the importance of embedded AI in streamlining RCM workflows.
• Discover practical applications of embedded AI throughout the billing process.
• Gain new insights into your RCM and develop strategies to further improve and measure performance.