Use Cases

Wherever patient history is the bottleneck.

80% of healthcare data is unstructured – and every team feels it differently: chart-review hours, denied claims, missed risk, endless chart chases. Different workflows, same root cause. One engine serves all six use cases, because fixing the record fixes more than one problem at a time. Find yours.

One Problem

Same records. 
Different decisions.

Credibility

Built for scale, reach, and accuracy.

1.5m

Documents processed per day (trailing 90-day avg.)

550,000+

care locations reachable through network partners

99.7%

Combined accuracy across 200+ comorbidity assessments.

Trusted across healthcare

See clinical clarity in your workflow.

A 30-minute demo with our team. No prep required. Test it out on your own data.

Frequently asked.

What use cases does xCures support?

xCures supports seven use cases across four groups. Providers and consumer health teams use it to support care. Diagnostics labs and specialty pharmacies use it to move patients through testing, prior authorization, and reimbursement. Value-based care organizations and health plans use it for risk adjustment, quality, and determinations, and channel partners embed it in their own platforms.

Why can one platform serve so many different teams?

Every team here faces the same root cause: patient history buried in unstructured records. Over 80% of healthcare data is unstructured, spread across notes, PDFs, faxes, and images. The xCures Clinical Clarity Engine structures those records into a source-linked patient history that can support many different decisions.

Which xCures products power these use cases?

Every use case runs on the same three products. Decision-Ready Checklists define what each decision requires and return structured, source-linked evidence. They are built from Automated Patient History, which assembles records into a usable timeline, and backed by Evidence Grade Data, which uses thousands of validated extractors.

How does xCures perform at scale?

xCures processes 1.5M+ documents per day (trailing 90-day average) and reaches 550k+ care locations across all 50 states. It reports 99.7% combined accuracy across 200+ comorbidity assessments. Results based on a retrospective analysis of a defined historical dataset and do not guarantee future performance.