Oncora Medical: Oncology AI and Data Management
Oncora Medical helps healthcare institutions and cancer registries automate data extraction and NAACCR coding. It is designed for teams seeking to reduce manual review time in registry and research workflows.
At a glance
- Category
- Healthcare
- Best for
- Cancer Registries, Oncology Practices, Hospitals, Clinical Researchers
- Pricing
- Pricing for enterprise solutions was not clearly available from the provided evidence. A free demonstration tool is available for testing with de-identified data.
- Key use cases
- Cancer Registry Automation, Clinical Documentation Support, Research Cohort Identification, Registry Quality Control
- Integrations
- Epic FHIR, MOSAIQ, ARIA
- Official website
- oncoramedical.com
Oncora Medical offers a suite of AI tools designed for oncology data management. The platform includes Registry AI for coding and compliance, Clinical AI for documentation support, and Research AI for managing patient cohorts.
These tools are designed for hospitals, medical practices, and clinical researchers. The software helps extract structured data from pathology reports, radiology studies, and clinical notes, which it can then convert into standardized formats such as NAACCR coding.
Buyers should confirm their EHR's compatibility with FHIR interfaces for connectivity. Users of the free demonstration tool should note it is intended for de-identified data only and does not include the secure PHI handling found in enterprise versions.
Key Features
Extracts data from pathology and radiology reports and converts it into standardized NAACCR coding format.
Retrieves oncology data via FHIR interfaces to support the generation of clinical documentation, including orders, prescriptions, and progress notes.
Identifies eligible patient cohorts based on inclusion/exclusion criteria and supports the generation of statistical analyses such as survival curves.
Detects reportable cancer cases across multiple data sources to help reduce manual review time.
Includes validation checks designed to identify missing or conflicting data within submitted cases.
Supports the creation of disease site-specific data capture instruments for clinical research.
Use Cases
Extracting oncology data from medical reports and translating it into NAACCR coding.
Generating customized progress notes and treatment summaries based on EHR data.
Scanning clinical data to match patients against criteria for clinical trials or retrospective studies.
Applying automated validation checks to support data integrity and completeness in registry reporting.
Best For
Integrations
Pricing
Pricing for enterprise solutions was not clearly available from the provided evidence. A free demonstration tool is available for testing with de-identified data.
FAQ
It uses AI to extract data from pathology, radiology, and clinical documents and converts that information into standardized NAACCR coding format.
There is a free demonstration tool available, but it is for de-identified or synthetic data only and does not support real Protected Health Information (PHI).
The AI Scribe connects to EHR systems via FHIR interfaces to retrieve medical documents and help generate customized clinical notes, orders, and prescriptions.
Source category: Healthcare
Source subcategory: Data Management
