Running clinical trials requires juggling multiple datasets: patient records, lab results, imaging, and site-level operational metrics. Teams often struggle to see which patients are eligible, track enrollment progress, and ensure protocol adherence.

Without centralized workflows, data discrepancies lead to delays, missed eligibility windows, and duplicated effort. Researchers spend more time reconciling datasets than analyzing outcomes.

Mage orchestrates patient, lab, and operational data into continuous, auditable workflows, delivering unified dashboards and alerts for trial coordinators. Teams can track cohorts, monitor enrollment targets, and detect protocol deviations early.

What this looks like in practice

• Coordinators quickly see eligible patient pools across multiple sites

• Data discrepancies are flagged automatically, reducing manual reconciliation

• Trial managers monitor enrollment, retention, and outcomes in near real-time

Outcomes

• Faster, more reliable trial execution

• Reduced risk of protocol non-compliance

• Data-driven cohort management and analysis

• Increased confidence for sponsors and regulators