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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AI in Medical Education: Training the Next Generation
Season 1: Episode 7
AI Amplified Podcast with Heather Bassett
Season 1: Episode 7 AI In Medical Education: Training The Next Generation with guest Ronald Rodriguez, MD, PhD, professor of medical education and program director for the MD/MS in Artificial […]
How AI in the Healthcare Industry Is Changing Patient Care
TL;DR: AI in the healthcare industry is no longer theoretical. It’s actively reshaping patient care by improving accuracy, reducing delays, and enhancing decision-making. This blog explores how AI tools are […]AI in Clinical Registries, Data Abstraction
Season 1: Episode 6
AI Amplified Podcast with Heather Bassett
Season 1: Episode 6 AI in Clinical Registries, Data Abstraction with guest Greg Miller, Vice President of Marketing and Business Development for Carta Healthcare, a leading provider of clinical data […]
Why Responsible AI in Healthcare Is Critical for Trust
TL;DR: Responsible AI is essential for building trust and ensuring that AI in healthcare administration enhances rather than undermines patient care. This blog explains how ethical, transparent, and accountable AI […]On-Demand HFMA Educational Webinar featuring Mayo Clinic and Xsolis
HFMA Webinar
Boosting Revenue Integrity & Reimbursement with AI
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 insightsAI use cases in healthcare are amplifying human expertise and efficiency across clinical and administrative settings.