xCures

NLP and machine learning applied to unstructured medical records is the product. Without the extraction and normalization models there is no structured history, only a pile of retrieved documents.

Oversight is structural rather than asserted: treatment option outputs from the xCORE ranking engine pass through a virtual tumor board that provides expert review, training, and validation of the algorithm's outputs. Every structured data element is also linked back to its immutable source document, which makes any individual output auditable rather than opaque.

Peer reviewed publication describing the platform architecture and its clinical decision support algorithm, including in the North Carolina Medical Journal and in AI in Precision Oncology. Publishing the method rather than only outcome claims is uncommon in this index and is what the axis rewards. Operational scale is separately reported at more than 300 million records from over 550,000 locations. Graded on the existence and venue of the evidence; this index does not re verify the underlying studies.

HITRUST e1 certification reported, which is the healthcare specific framework and materially stronger than an unevidenced HIPAA alignment claim. Held back from A because no public trust center with control level detail, audit dates, or an accompanying SOC 2 examination was retrieved.

Retrieval breadth is the core competency: connectivity with local, state, and national health information networks reaching a reported 550,000 distinct healthcare sites, delivered through both web interfaces and developer APIs that embed in existing workflow platforms. This is materially broader than integration with a handful of named EHRs.

No public pricing. Contact the vendor. Sold through software licenses to the platform, direct API connections, and data product agreements with life sciences partners; no published rate card.