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Incidental Findings & Screenings

Use the power of AI to analyze every radiology report and surface suspicious incidental findings and screenings in real-time.

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Incidental Findings

Detect Cancer Early with Real-Time Radiology Insights

Azra AI’s Incidental Findings & Screenings module is designed to ensure no potential cancer diagnosis goes undetected. By ingesting and analyzing unstructured radiology reports in real-time, this module identifies suspicious incidental findings and notifies your care team immediately, helping providers connect patients to care sooner and streamline follow-up processes. Developed in collaboration with leading healthcare institutions, our AI-powered module adds critical precision to every aspect of the incidental findings workflow.

How Does it Work?

Unstructured data from radiology reports often hides crucial information, delaying the identification and treatment of cancer patients. Azra AI’s platform automatically ingests these reports, analyzes them using cutting-edge machine learning algorithms, and flags suspicious incidental findings with unparalleled precision.

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Step One
Our system ingests every single radiology report and automates case finding. Our solution is EHR agnostic.
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Step Two
It then uses cutting-edge AI and machine learning to see if there are any incidental findings in the radiology report or screening is indicative of cancer., and classifies the nodule.
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Step Three
If there is a suspicious incidental finding, the system then looks for other details like nodule size and characteristics. All other non-cancerous reports are filtered out.
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Step Four

The filtered reports are immediately added to a “Care Queue”, which is a simple interface that shows all positive diagnoses in order of priority and urgency, based on Fleischner guidelines.

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Step Five

Navigators can then reach out to the patient and start coordinating care in real-time.

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Step Six

The Care Queue can be tuned as each system wishes in order to reduce or increase the volume of reports that are initially shown.

Benefits

Identify and follow-up on suspicious incidental findings faster so no patient ever falls through the cracks.

Clinical Benefits
  • No disruption in workflow
  • Prioritize the highest-risk patients
  • Automate care management
  • Identify cancer at a treatable stage
Operational Benefits
  • Improve patient outcomes
  • Decrease liability
  • Increase staff capacity
  • Automate follow-up tasks
Financial Benefits
  • Capture more patients, reduce leakage
  • Increase net patient revenue
  • Augment staff, focus on patient care
  • Decrease the chance of future liability