Xsolis’ Generative AI Cuts Medical Necessity Review Times by Over 65% in Pilot with Beacon Health System
Xsolis, a healthcare technology company focused on reducing administrative burden through AI-powered collaboration tools, has released early results from a pilot of its new generative AI solution. The tool, aimed at streamlining medical necessity reviews, was tested by Beacon Health System, a not-for-profit provider serving northern Indiana and Michigan.
Key Findings from the Pilot
Over a three-month period, the pilot showed significant improvements in efficiency and consistency:
- Time Savings: The average time to complete a medical necessity review dropped from 15 minutes to 4.7 minutes — a 68% reduction. This allowed for more reviews to be completed each day and helped ease onboarding and staffing challenges.
- Improved Review Quality: The AI tool enhanced consistency, accuracy, and completeness across case management teams, reducing variability caused by geographical distribution. This led to fewer internal peer reviews and greater confidence among nurses.
- Faster Approvals: The automation of critical patient data enabled quicker submissions to payers, reducing approval times from four to five days to as fast as two days.
- Faster Payments and Fewer Denials: More efficient reviews and quicker approvals helped the health system secure payments more rapidly and reduced the likelihood of billing errors or surprise bills for patients.
Heather Wagner, MBA, BSN, RN, director of utilization review and case management at Beacon Health System, said the technology helped her team handle increasing pressures on healthcare providers.
“Health systems struggle to ‘do more with less’ each year, and rising denial rates and staffing shortages continue to present new challenges to ensure we’re optimizing all our available resources,” said Wagner.
“Not only did Xsolis’ GenAI solution build off our existing time efficiencies and payer collaboration efforts, but it created additional places to use Xsolis’ GenAI models for system-wide improvements.”
Broader Industry Context
Administrative tasks remain a major source of inefficiency in healthcare. A Deloitte study estimates that 15–28% of nurses’ time is spent on tasks that don’t directly impact patient care — such as compiling information from electronic health records (EHRs) for review documentation. The study also suggests that advanced technologies, when applied appropriately, could free up to 50% of the time spent by revenue cycle staff and up to 20% for bedside nurses.
Medical necessity reviews — part of the mid-revenue cycle — are identified as one of the most time-intensive administrative processes, and therefore represent a key opportunity for AI-driven improvements.
Long-Term Collaboration and Results
Beacon Health System first adopted Xsolis’ AI platform in 2019 to manage care for high volumes of critically ill patients. Since then, the system has reported a 140% increase in patient throughput and over $95 million in operational savings as of early 2025.
Joan Butters, CEO and co-founder of Xsolis, noted the pilot as part of the company’s ongoing efforts to enhance its Dragonfly platform.
“We’re pleased to offer exciting new enhancements to Xsolis’ Dragonfly platform, such as generative AI, so our customers can stay one step ahead in today’s challenging healthcare landscape,” said Butters. “Congratulations to Beacon Health System and its leaders for highlighting how the right tools can enable more efficiency when paired with the right people and processes.”
Xsolis has spent over a decade developing human-in-the-loop AI systems to support medical necessity decisions. Its generative AI tools are available alongside its existing predictive AI models and have contributed to over $1.5 billion in savings for health systems and payers.
Learn More
More information on the Dragonfly platform and Xsolis’ AI-driven solutions is available at: https://www.xsolis.com/solutions
Xsolis will also be demonstrating its latest tools, including generative AI capabilities, at the Healthcare Financial Management Association (HFMA) Annual Conference in Denver, June 22–25.
Conference attendees can learn more or request a demo at: https://www.xsolis.com/2025-hfma-nat
