Location: Multiple facilities across the U.S. and U.K.
AI Focus: Streamlining oncology care coordination using real-time pathology report classification
The Challenge:
In oncology, time is critical. But for HCA Healthcare, manual review of pathology reports and patient scheduling often caused delays in getting cancer patients the care they needed. Navigators were bogged down in paperwork, slowing the transition from diagnosis to treatment and impacting patient outcomes.
The AI Solution:
HCA Healthcare partnered with Azra AI to automate the entire workflow. Azra’s machine learning platform ingests pathology reports, instantly identifies patients with cancer indicators, and alerts nurse navigators in real time. What once required hours of manual chart review is now near-instantaneous.
Outcomes:
- Faster Care: The average time from diagnosis to treatment dropped by 6 days—crucial time gained for early-stage cancer intervention.
- Massive Labor Savings: Over 11,000 hours of manual labor saved annually, enabling teams to do more with fewer resources.
- Expanded Capacity: HCA added over 10,000 new oncology patients in just 14 months, while nurse navigators spent 65% more time on direct care coordination rather than admin tasks.
Why It Matters:
This isn’t just workflow automation—it’s life-saving acceleration. By using AI to surface the right patients at the right time, HCA Healthcare is giving clinicians a head start in the fight against cancer, all while scaling services without burning out their staff.
