At the center of the offering is the Clinical Clarity Engine, a six-step pipeline that ingests records through direct upload, EHR and API integrations, HIEs and QHINs, then normalizes C-CDA, FHIR, scanned images and PDFs, applying OCR where needed. Text is split by section-based and semantic chunking, classified using embeddings, and searched semantically before extraction; results are mapped to FHIR R4 resources, normalized to OMOP concepts, and merged with tabular C-CDA data to build a standardized longitudinal record. A checklist system then pulls patient-level clinical assertions, returning structured variables with citations back to the source document. Record retrieval runs through TEFCA and Carequality for treatment-based use, plus Individual Access Services for patient-authorized requests. The company reports coverage in all 50 states, data drawn from over 550,000 care locations, and HITRUST certification. Most checklist workflows return output in minutes.
xCures
xCures utilizes advanced AI and direct-to-patient data platforms to capture and structure real-world data (RWD) from cancer patients undergoing active clinical treatment. By transforming unstructured medical records into actionable clinical insights, xCures facilitates expanded access programs, accelerates oncology clinical trial recruitment, and provides valuable real-world evidence to oncology drug developers.
