EVIDENCE GRADE DATA

Data that you can rely on.

Retrieved records are not the same as usable data. A scanned PDF, a handwritten note, an unstructured discharge summary – none of it is ready for a workflow until it has been read, validated, and placed in clinical context. The xCures Clinical Clarity Engine does that work. Evidence Grade Data is data a clinician, a coder, or a reviewer can defend.

How it works

Turning raw records into structured, verifiable data.

The foundation of evidence grade data

Specialized extractors

Specialized extractors identify clinical concepts, diagnoses, treatments, lab values, dates, and relationships across documents.

Validation algorithms

Extraction algorithms are validated and benchmarked against client standards before being released to production.

Verbatim extraction

Targeted data elements are extracted verbatim from the medical record, retaining the full clinical context given by the document author.

Source linkage

Every structured data element keeps a pointer to the page, section, and document it came from. One click takes the user directly to the original source.

Our capabilities

What we deliver
  • Comprehensive structured clinical data in a flattened data model
  • Ontology-standardized resource names and concept codes
  • Fully relational data across medical encounters and care sites
  • Source-linked evidence on every data point

Target users

Who it is for
  • Anyone who needs to defend a clinical claim with evidence
  • Risk adjustment and CDI teams
  • Clinical research teams
  • Quality and compliance functions
  • Any product that puts clinical decisions in front of a user and needs the data underneath to hold up

BY THE NUMBERS

Clarifying metrics

415%

information gain in family medical history extraction

67-92%

patients with targeted clinical rationale statements extracted

4

median documents isolated with cited evidence

1184

median data elements per patient structured with 100% source provenance

Results based on a retrospective analysis of a defined historical dataset and do not guarantee future performance

See how raw records become verifiable, decision-ready data.

Request a demo

Frequently asked.

How is extraction accuracy validated and published?

xCures® extractors are validated against expert clinical review before they enter production. Extractors that fail to meet performance thresholds undergo directed correction and improvement. Source linkage: every output ties back to the original record, so any result can be verified at the source.

Which healthcare teams use Evidence-Grade Data?

xCures Evidence-Grade Data is used by anyone who needs to defend a clinical claim with evidence, including risk adjustment and CDI teams, clinical research teams, quality and compliance functions, and any product that puts clinical decisions in front of a user and needs the data underneath to hold up.