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Azra AI is an enterprise healthcare intelligence platform that extracts actionable clinical data from unstructured pathology, radiology, and EMR reports to automate patient management. The system continuously screens incoming documents to detect new cancer cases, incidental imaging findings, and cardiac risks in real time, organizing them into structured care pathways. It streamlines oncology navigation, tumor board preparation, cancer registry case finding, and clinical trial pre-screening to improve time-to-treatment and care retention across health systems.

Solving the Root Causes of Complex Healthcare Challenges

Key features

  • Automated Cancer & Incidental Findings Identification: Ingests pathology reports and diagnostic radiology scans in real time to instantly identify new cancer diagnoses and critical incidental findings.
  • Agentic Clinical Research Pre-Screening: Parses trial eligibility protocols to continuously match patients against active clinical trials with traceable criteria citations.
  • Tumor Board & Multidisciplinary Review: Automates case preparation, coordination, and post-meeting recommendation tracking for oncology tumor boards.
  • Cancer Registry Case Finding: Automates registry case identification to eliminate manual chart review backlogs and support NAACCR submission standards.

Strengths

  • Bidirectional EHR overlay that operationalizes stored clinical data into closed-loop care workflows
  • High-precision (>99%) clinical AI trained specifically on oncology, cardiology, and radiology documentation
  • Measurable operational impact, including accelerated time-to-treatment and reduced manual case-finding time

Best for

  • Enterprise health systems looking to automate oncology navigation and eliminate care drop-off
  • Clinical research departments seeking automated trial pre-screening and feasibility analysis
  • Cancer registry and quality management teams resolving manual chart review backlogs

Integrations

  • EHR systems (api, deep, system)

Categories

Features

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