Dragonfly’s AI-powered platform gives you immediate, objective insight into patient acuity and level of care so you can make faster medical necessity decisions, reduce denial risk, and defend every decision with confidence.
SCHEDULE A MEETING About Xsolis Speaking Sessions Booth Activities
Wednesday, April 15, 2026 | 1:00 pm – 1:55 pm EST | Symphony VI-VII
See how physician advisors at Advocate Health are using AI and machine learning to transform utilization management at scale. In this session, you’ll hear firsthand how their team standardized workflows across multiple EMRs, reduced clinical escalations through nursing AI adoption, and built cost-effective staffing models — all while improving observation rates and productivity.
Whether you’re navigating rapid growth or looking to free your team for higher-impact work, this session delivers practical, proven strategies you can bring back to your organization.
Speakers
Ankita Patel, M.D, MBA, MA
Director of Physician Engagement
Xsolis
Brian Moore, M.D.
Chief Medical Officer Physician Advisor Services
Advocate Health
Carolyn Dutton, M.D.
Director of Operations Physician Advisor Services
Advocate Health
Smart Glasses Made Smarter With AI

“Xsolis offers a more dynamic and data-driven approach to determining medical necessity, reducing the reliance on rigid, criteria-based frameworks. By leveraging real-time insights, it helps streamline decision-making and allows clinicians to focus their time on more complex cases where their expertise is most impactful. Unlike traditional criteria, Xsolis’ CLS empowers Inova’s clinical staff to take a more patient-centered approach, leveraging data to support their clinical decision-making.”
Since 2013, Xsolis has helped hospitals, health systems, and payers work from a single source of truth. Our human-centered AI solutions and expert services, paired with clinical context and expertise, reduce administrative burden and prevent downstream issues by bringing providers and payers into shared, real-time alignment.
Proactively align care delivery with accurate reimbursement to reduce friction, prevent unnecessary denials, and protect revenue.
The Result: Fewer surprises, fewer unnecessary denials, less rework. More time for your teams focus on patient care and strategic priorities.