KLAS RESEARCH
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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Powerful AI Use Cases in Healthcare You Need to Know
TL;DR: Artificial intelligence is already reshaping healthcare by supporting clinicians, improving patient outcomes, and streamlining operations. Far from removing humanity from care, AI use cases in healthcare are amplifying human […]
Dr. Heather Bassett, Chief Medical Officer at Xsolis, Wins ‘Most Innovative Woman in Healthcare’ Stevie® Award at 2025 Stevie Awards for Women in Business
Dr. Bassett Takes Home Gold Stevie® Award as Women Around the World Recognized at Event in New York FRANKLIN, Tenn., November 11, 2025 – Xsolis, an AI-driven technology company that reduces […]
Generative AI in Healthcare: Transforming Clinical Efficiency
TL;DR: Generative AI is reshaping healthcare by reducing administrative burdens, enhancing documentation accuracy, and enabling collaboration between providers and payers. Powered by specialized healthcare LLMs, these systems automate tedious processes, […]
Top AI Trends in Healthcare Driving Innovation in 2026
TL;DR: Artificial intelligence continues to revolutionize how healthcare organizations deliver care, streamline operations, and enhance collaboration across the payer-provider landscape. In 2026, AI innovations will not only address inefficiencies but […]
Optimize Revenue Integrity and Improve Payer Alignment with AI
Hear insights on leveraging AI for enhancing decision making and eliminating administrative burden