Value-based care

Close gaps in risk adjustment.

Value-based care depends on a comprehensive understanding of the patient. xCures delivers clinical clarity across the patient journey so you can identify every relevant condition, improve risk adjustment accuracy, and drive better outcomes without manual review.

Problem

Manual chart review takes too long.

80% of healthcare data is unstructured, sitting in notes, PDFs, and faxes that your population health and quality teams cannot reach. Providers often lack access to a comprehensive longitudinal record across systems. Risk adjustment requires annual documentation of every relevant condition, and manual chart review for condition capture can take 30 to 60 minutes per patient. Gaps in patient understanding become gaps in risk capture, and value gets left on the table.

Solution

Decision-Ready Checklists, every output source-linked.

The xCures Clinical Clarity Engine automatically assembles and contextualizes the clinical data your organization needs for its workflows. Decision-Ready Checklists return the specific conditions, history, and documentation your risk and quality workflows require. Every output is source-linked, so HCC capture, HEDIS® reporting workflows, and Stars program metrics are supported by source-linked clinical evidence.
HEDIS® is a registered trademark of the National Committee for Quality Assurance (NCQA)

See clinical clarity at work in your VBC programs.

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 support HCC coding accuracy?

xCures® assembles a comprehensive patient record across care sites and delivers Decision-Ready Checklists configured for condition capture. Every identified condition is source-linked with a written justification tied to the original clinical document. Outputs are structured for coding teams and defensible for risk adjustment programs. This replaces manual chart review with a source-traceable summary.

Can xCures surface care gaps from unstructured records?

Yes. xCures uses clinical extractors to surface diagnoses, conditions, and care gaps from unstructured medical records, the roughly 80% of healthcare data that structured EHR data alone cannot reach. Care gap outputs are source-linked and ready for outreach and program workflows. Organizations close gaps identified from the patient record across sites of care, not only what already sits in their system.

How does xCures support annual risk adjustment workflows?

xCures supports annual risk adjustment by assembling a comprehensive patient record across care sites and delivering Decision-Ready Checklists configured for condition capture and documentation. Every identified HCC code carries source-linked evidence tied to the original clinical record. The engine scales across full patient populations, so documentation stays consistent, and defensible across the program, not only for high-complexity cases.

Is xCures’ output audit-defensible for Stars and HEDIS programs?

Yes. Every xCures output is traceable to a source document, page, and paragraph, with a written justification on each point. That traceability supports Stars and HEDIS® reporting workflows your compliance teams can verify. The engine was built for high-stakes clinical data, starting with oncology.