Boosting Revenue Integrity & Reimbursement with AI

Revenue cycle leaders understand how bedside care desicisons and delivery impact the bottom line. Payment for healthcare services starts with a claim detailing the type of care the patient received and the amount charged, then sent to the patient’s health plan for reimbursement. 

However, the process may not end there. There is typically back and forth for clinical justification, additional detail, and the reasons care decisions were made based on changing patient acuity. This is a key area of ongoing friction for both providers and payers. 

Hear from revenue cycle and utilization review experts from Mayo Clinic and Xsolis as they reveal how leading healthcare organizations are using objective, Al-driven insights to:

  • Strategically align revenue cycle and utilization review teams
  • Reduce underpayments and avoidable denials 
  • Improve health plan collaboration with objective data real-time

 

Interested in learning more about Dragonfly Revenue Integrity Insights? Request a consultation to learn how robust analytics and reporting capabilities can help improve revenue integrity at your organization.

 Consultation Page

Resources

Press Release

ACMA National Conference features leaders and professionals affiliated with case management and transitions of care taking place April 20-23 in Orlando, Florida 

 

Xsolis Press Releases

Xsolis Returns as Platinum Sponsor of the 33rd Annual American Case Management Association (ACMA) National Conference

ACMA National Conference features leaders and professionals affiliated with case management and transitions of care taking place April 20-23 in Orlando, Florida  FRANKLIN, Tenn., April 15, 2026 – Xsolis, an […] Media

AI in Patient Communication and Experience

Season 1: Episode 10

AI Amplified Podcast with Heather Bassett

Season 1: Episode 10 AI in Patient Communication and Experience with guest Justin Schrager, MD, Co-Founder and Chief Medical Officer of Vital Case Study

Independent academic research reports measurable improvements in level-of-care accuracy, observation discharge rates and operational forecasting

 

Peer-Reviewed Studies Across Major U.S. Health Systems Validate AI in Utilization Management

Independent academic research reports measurable improvements in level-of-care accuracy, observation discharge rates and operational forecasting    FRANKLIN, Tenn., April 1, 2026 – Xsolis, an AI-driven technology company that reduces administrative […]