Eliminate manual case finding, abstract vital data, and pre-populate required fields in NAACCR format.
Azra AI’s Cancer Registry Automation module streamlines the manual, resource-intensive process of cancer casefinding and reporting, helping oncology data specialists ensure compliance and maintain registry continuity. In an era of high demand on registry teams, this module leverages advanced AI to automate casefinding, data abstraction, and reporting, allowing healthcare professionals to focus on what matters most—delivering quality care.
Traditional cancer registry processes are time-consuming and prone to human error. Azra AI’s SmartPath™ Cancer Registry Automation module revolutionizes registry workflows with a seamless end-to-end solution that automates data collection, analysis, and reporting. With Azra AI, your cancer registry team can maintain accuracy, speed, and regulatory compliance without the heavy manual effort.
It then uses cutting-edge AI and machine learning to see if there is a positive cancer diagnosis annotated in the report.
The cancer-positive reports are immediately added to a “Care Queue”, which is a simple interface that shows all positive diagnoses in order of priority and urgency.
Our AI automatically abstracts vital data and populates required fields in NAACCR format.
Oncology Data Specialists can effortlessly submit required registry data to state agencies and avoid backlogs.
Effortlessly identify and abstract vital cancer patient data while reducing human error.
Identify cancer patients needing, abstract, and pre-populate reportable data in a fraction of the time spent now.
Cancer Registry teams can quickly adapt to this state-of-the-art solution without the need for extensive IT support.
Hospitals can automatically transmit pathology directly to state agencies as required, and generate comprehensive reports with ease.
Easy to implement and seamlessly integrates with your existing hospital systems.
Employs robust security measures to safeguard patient information, complying with all relevant healthcare data privacy regulations.
