oncora.ai: Revolutionizing Oncology Data Management with AI

oncora.ai is an advanced AI platform developed by Oncora Medical, specifically designed to streamline oncology workflows through intelligent data extraction, automation, and analysis. Tailored for healthcare professionals in radiation oncology, it transforms unstructured clinical documents—including pathology reports, radiology studies, and clinical notes—into standardized, research-ready data with over 95% accuracy in NAACCR coding. The platform enhances efficiency across cancer registries, clinical documentation, and research initiatives with features like automated case finding, real-time machine learning for quality assurance, and AI-assisted study design. Its seamless integration with EHR systems via FHIR and support for multi-site practices make it a powerful ally for oncology teams aiming to improve data accuracy, reduce administrative burden, and accelerate clinical research.

Key Features:

• Registry AI: Automates cancer registry workflows by extracting and coding data from clinical documents into NAACCR standards with 95%+ accuracy.
• Clinical AI: Acts as an AI scribe that converts medical documentation into structured data, supporting customized clinical notes, orders, prescriptions, and treatment summaries.
• Research AI: Transforms clinical data into research-ready cohorts with automated cohort matching based on complex criteria and generates statistical analyses like Kaplan-Meier curves and response rates.
• AI-Assisted Study Design: Creates Electronic Data Capture (EDC) forms, schedules of events, endpoints, and analysis plans from natural language prompts.
• Intelligent Case Finding: Uses NLP to identify cancer cases with a lower false positive rate than traditional methods.
• Unified Abstraction View: Displays structured oncology data (Patient ID, Primary Site, Histology, Stage, Treatment, Status) in a centralized, easy-to-use interface.
• FHIR Integration: Connects securely with EHRs like Epic FHIR, MOSAIQ/ARIA, and lab systems for real-time data access.
• Built-in Quality Assurance & Validation: Performs automated checks to detect missing or conflicting data, ensuring compliance and accuracy.
• Custom Dashboards: Visualizes patient outcomes, treatment responses, and program analytics for actionable insights.
• Secure Collaboration Tools: Enables safe sharing of research findings and export to statistical software.
• Real-Time Machine Learning: Supports personalized quality control across multi-site oncology practices.
• Automated Data Extraction: Pulls structured data from EMRs and point-of-care systems without manual input.
• Client-Side Processing: All data is processed locally; no real Protected Health Information is stored on servers.

Pricing: oncora.ai offers a Free trial tier for demonstration purposes, allowing users to experience core functionalities with synthetic or de-identified data. This trial is ideal for evaluating the platform’s capabilities before committing to a full deployment.

Conclusion: oncora.ai stands as a transformative force in oncology, combining precision AI with healthcare-specific expertise to dramatically improve data abstraction, clinical documentation, and research efficiency—making it an indispensable tool for modern cancer care and research teams.