Proof
What customers say.
Before xCures, we could match patient data for ~15% of cases. With xCures, that jumped to 75%—giving us important clinical information on close to 5x more patients.
Mike Furgason, Head of Data, NeoGenomics
Move more patients through testing and reimbursement.
A 30-minute demo with our team. No prep required. We will use a sample patient record and show you exactly how it works.
Frequently asked.
How does xCures reduce medical necessity denials for diagnostic labs?
Around 60% of claim denials are avoidable, and missing or incomplete documentation is a leading cause. xCures assembles the complete patient record and delivers Decision-Ready Checklists with exactly the elements that justify medical necessity — pathology reports, tumor markers, physician notes, prior treatment — linked to the source document. Reimbursement teams submit complete files the first time. At NeoGenomics, the engine helped close a $1M reimbursement gap in under a year.
Can xCures automate prior authorization documentation for lab tests?
Yes. xCures assembles the prior authorization documentation diagnostic labs require: diagnoses, prior treatment history, and physician notes, drawn from the patient’s full care history across nationwide networks. Decision-Ready Checklists return exactly the elements each payer requires, with source links on every item. Teams can submit much more complete packages the first time, reducing back-and-forth with payers and accelerating patient access to testing.
What results have diagnostic customers seen with xCures?
NeoGenomics, one of the leading oncology diagnostics labs in the United States, saw its patient data match rate jump from 15% of cases to 75% after deploying xCures, giving the team access to up to five times more patients they could actively serve.
How does xCures improve patient match rates for diagnostics?
Diagnostic labs depend on matching patients to complete care histories before they can serve them. When records are scattered across care sites, match rates suffer. xCures assembles the complete patient record across nationwide networks, EHRs, HIEs, and QHINs, giving labs access to far more matching clinical data than single-source retrieval provides. At NeoGenomics, match rates went from approximately 15% to 75% after deploying xCures, representing access to up to six times more patients.