Choose the right studies, identify eligible patients faster, and manage enrollment performance across your research network.
Research teams deserve solutions purpose-built to transform disparate EMR records into data-driven trial feasibility, while streamlining patient matching and enrollment.
Azra enables health systems to operate clinical trials as a coordinated enterprise capability, connecting EMR data standardization, trial feasibility, patient identification, and enrollment performance within one platform.
Clinical research teams are under increasing pressure to grow their portfolio, manage newly purchased facilities, and meet enrollment targets, all while managing increasingly complex protocols.
80% of clinical research data is embedded in unstructured data, including PDFs.
Static feasibility estimates disconnected from real patient populations.
Chart review to identify eligible patients remains time-consuming and error-prone.
Fragmented workflows across research teams with limited coordination.
Limited visibility into trial performance and enrollment pipelines.
Research teams spend valuable time searching for patients instead of growing their research programs.
Azra enables research teams to manage clinical trials as an integrated enterprise capability, helping research programs choose the right studies, identify eligible patients, and monitor enrollment performance.
Before accepting a new protocol, research leaders need to understand whether their patient population can realistically support enrollment targets.
Azra enables automated trial pre-screening, allowing research teams to know, close to real time and with high precision, which patients may be eligible for actively recruiting trials.
This eliminates manual chart review and dramatically increases the efficiency of patient identification.
Azra provides consolidated reporting across trials, enabling research teams to:
Traditional clinical trial enrollment often begins only after patients meet strict eligibility criteria. Azra enables research teams to proactively monitor patient trajectories and identify potential trial candidates earlier.
Health systems already have the patients needed to support successful clinical trials. What they need is the infrastructure to identify those patients, match them to the right studies, and manage enrollment performance at scale.
Data-driven feasibility ensures your network can support enrollment targets before committing.
Automated pre-screening replaces manual chart review with continuous, precise patient identification.
Consolidated reporting across trials gives research leaders real-time visibility into performance.
Research programs that can scale enrollment, strengthen sponsor relationships, and increase research revenue.
See how Azra helps health systems identify eligible patients faster, improve enrollment performance, and scale clinical research programs.