Xsolis frames these predictions as decision support for nurses, care managers, and utilization management teams.
In practice, the AI makes a determination that is framed as a recommendation, and the nurse is responsible for auditing that determination for accuracy.
Xsolis has been deployed across major health systems:
At Beacon, the director of utilization review said the technology let her team support 140% more patients a day, and in the GenAI pilot, average initial review time dropped from 15 minutes to 4.7 minutes. That's the throughput shift in real numbers.
In practice, the AI makes a determination that is framed as a recommendation, and the nurse is responsible for auditing that determination for accuracy.
Xsolis has been deployed across major health systems:
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Providence first deployed Xsolis in October 2023 at eight hospitals in Oregon, with plans to expand to 28 more facilities.
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Beacon Health System first implemented it in May 2019 and expanded in 2025 to add a generative AI tool for medical necessity reviews.
- AnMed implemented it in January 2023 and has since expanded its use, per a March 2026 update.
At Beacon, the director of utilization review said the technology let her team support 140% more patients a day, and in the GenAI pilot, average initial review time dropped from 15 minutes to 4.7 minutes. That's the throughput shift in real numbers.
