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 XSOLIS employs a unique and creative approach to balance the scales in your favor.
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.