
Xsolis’ AI-Driven Solution, New Features Evaluated in KLAS Second Look Report
89% of KLAS-surveyed customers use Xsolis’ AI technology to minimize preventable denials FRANKLIN, Tenn., July 8, 2025 – Xsolis, an AI-driven technology company that reduces administrative waste by enabling collaboration between […]
Harness the Power of Generative AI in the Mid-Revenue Cycle with Dragonfly
Xsolis’ industry leading predictive AI platform, Dragonfly, now seamlessly leverages generative AI to bring next generation clinical efficiencies to life. Using Xsolis’ “human in the loop” approach that has guided […]Want to get more resources like these in your inbox?
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6 Essential Steps of Denials and Appeals Management
Summary: Claim denials are a growing financial burden in healthcare. This blog outlines six essential steps to improve denials and appeals management, reduce claim rejections, and recover lost revenue. Learn […]Getting AI Right

AI Amplified Podcast with Heather Bassett
Season 1: Episode 2 Getting AI Right with guest Justin Barnes, CEO, Growth PerformanceA Seamless Implementation of GenAI for Initial Reviews

Transforming the Initial Review Process: Review Times Are Cut by 69%, Increasing Efficiency & Revenue Cycle Throughput
Featured on HealthcareNOW Radio, AI Amplified brings together industry leaders as they explore breakthrough AI innovations, industry challenges, lessons learned, and how to ensure future success through responsible use of technology

Xsolis Launches AI Amplified, A New Podcast Hosted By Chief Medical Officer Dr. Heather Bassett, Spotlighting The Real-World Impact Of AI In Healthcare
Xsolis, an AI-driven technology company that reduces administrative waste by enabling collaboration between healthcare providers and payers, today announced initial results of its new generative AI (GenAI) solution pilot that […]From Med School to CMIO to CIO to AI Leadership

AI Amplified Podcast with Heather Bassett
Improved Utilization Management, Length of Stay and Denial Performance through AI-Driven Offerings in the Mid-Revenue Cycle
