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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/xCures Inc.
xCures Inc.

xCures Inc.

Founded 2018

Extract structured clinical data from fragmented medical records to support healthcare decisions

Pricing model

Demo

You can use xCures to turn messy, unstructured medical records into organized clinical data. It gathers patient records across nationwide healthcare networks, electronic health records, and direct file uploads. The system extracts critical diagnosis details, lab values, and treatment histories, linking every data point directly back to the original source document and page. Healthcare providers, diagnostics teams, and value-based care organizations use these structured summaries and checklists to reduce manual chart review times, complete prior authorizations faster, and surface care gaps accurately.

What xCures Inc. does

Extract specific diagnosis dates from unstructured medical documentsLink extracted clinical facts to source document pagesAssemble longitudinal medical histories from multiple provider sitesGenerate structured summaries for manual chart reviewsVerify clinical evidence for prior authorization submissionsDeduplicate records collected across different electronic health record systemsExport structured patient data via secure APIsSource-linked clinical data extraction with exact document and page referencesNationwide medical record retrieval across care locations, EHRs, and HIEsAutomated longitudinal patient history assembly and deduplicationCustomizable decision-ready checklists for specific clinical workflowsWritten justifications provided for every extracted data itemDirect integration feeds via dashboards, export feeds, and APIsHITRUST i1 cybersecurity certification for patient data security

Pricing breakdown

Pricing model: Book a demo

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xCures, clinical clarity, medical record abstraction, EHR data extraction, patient history, chart review, prior authorization, healthcare data, evidence-grade data, HEDIS reporting, HCC capture, clinical data integration, longitudinal health records, unstructured clinical data, medical records processing