Azra AI agents scan EHR data for trial-ready patients
Azra AI said the platform uses real-time EHR data ingestion and agentic AI to identify potential clinical-trial candidates earlier.
Azra AI has launched an Agentic AI Clinical Research Platform designed to identify trial-eligible patients and manage clinical research workflows, according to the company.
The Nashville, TN-based company said the platform is built on its care orchestration infrastructure and uses a unified patient intelligence layer to organize fragmented electronic health record (EHR) data across the clinical trial process.
The platform has secured multiple customers and a strategic partner, Azra AI said.
The system ingests pathology and radiology reports when they enter the EHR. It then applies real-time AI models to detect and characterize disease information in areas including oncology, cardiology, and neurology, according to the company.
Azra AI said this process can identify trial-eligible patients 7 days earlier than traditional systems.
The platform includes a conversational user interface that allows research teams to load clinical protocols and assess site viability using natural-language queries. It also uses autonomous AI agents to scan structured records and unstructured clinical notes for patient pre-screening and trial matching, the company said.
Additional features include disease-trajectory tracking, progression-risk monitoring, automated portfolio reporting, and traceability to source data for AI-driven patient matches.
Researchers can review the original de-identified medical record data behind a match for audit and verification, according to Azra AI.
Health systems can also opt in to the Azra Clinical Research Network, which is intended to connect hospitals with pharmaceutical studies aligned with their patient populations.
Azra AI said its broader enterprise platform is deployed across hundreds of U.S. health systems and is used in workflows including lung and breast cancer screening, incidental findings, multidisciplinary meetings, care coordination, clinical trial matching, discharge workflows, and reporting analytics.
Company:Azra AI
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Radiology Signal Staff covers developments across medical imaging, radiology AI, imaging informatics, clinical research, and radiology business. The team monitors primary sources, peer-reviewed studies, company announcements, society updates, and healthcare industry news to deliver concise reporting for imaging professionals.
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