- Who We Serve
- About Us
XSOLIS applies highly sophisticated Machine Learning algorithms to identify and prioritize cases with strong clinical merit, most appropriate for appeal.
We deploy industry experts with a combination of clinical, legal, and revenue cycle experience, including Auditors, CDI Specialists, and Case Managers.
Our technology defends admissions decisions to payers concurrently (while the patient is still in the hospital) and retrospectively (in the event of a denial).
No two cases (or corresponding appeal letters) are the same, so our analytics-based approach identifies cases with demonstrated clinical merit.
Through our proprietary data management platform, complex denials are reviewed 3–5 times more efficiently than typical methods.
We offer actionable insight into key case metrics, including admitting or discharge diagnosis, procedure, length-of-stay, or down-grade and denial outcomes.
The intersection between payer, providers, and vendors is a junction fraught with uncertainty. Differences in regulation, variations in services provided, claim age, hospital, and systems in place pose barriers to this process, hampering successful resolution and reimbursement.
Revenue Management Supervisor, CRMC