Transforming Payor-Provider Collaboration Through Next-Gen AI
At HLTH 2025, EPAM’s Timothy Hughes and Xsolis’ Zach Evans took the stage to discuss AI-powered payor-provider collaboration. Together, the pair unpack a multi-year partnership that has produced scalable, AI-powered solutions that reduce administrative burden, improve data transparency and support more efficient interactions across the healthcare ecosystem.
In this session:
- Applying generative AI to standardize utilization review and reduce variability in clinical workflows
- Improving payor–provider alignment through shared data, clearer insights and more complete clinical context
- Reducing denials and rework by elevating the quality and consistency of submissions
- Streamlining appeals processes through AI-assisted documentation and automation
- Using predictive analytics to support length of stay management and discharge planning
- Embedding human-in-the-loop design to ensure clinical accuracy, trust and adoption
- Advancing toward agentic AI to further automate and orchestrate complex healthcare workflows
Explore this real-world example and a practical view of what’s next as generative and agentic AI continue to evolve in healthcare.
Read the full EPAM-Xsolis case study, here.
Meet the Speakers
- Tim Hughes
VP, Client Partner, Life Sciences & Healthcare, EPAM
- Zach Evans
Chief Technology Officer, Xsolis
