Optimizing patient management in the emergency department with navify® Analytics
Success story
Ospedale San Raffaele, a major academic hospital in Milan, partnered with Roche Healthcare Consulting to implement navify Analytics for Core Lab and improve diagnostic workflows in its emergency department (ED). With a focus on high-sensitivity troponin testing for acute myocardial infarction, the project aimed to reduce turnaround times, optimize pre-analytical and analytical processes and enhance communication between the lab and ED teams. The result was a 68% reduction in pre-analytical turnaround time and a 45% overall improvement in test execution time – delivering faster diagnoses.1
Ospedale San Raffaele’s emergency department faced challenges with patient overcrowding, long wait times and delays in receiving laboratory test results. These inefficiencies affected clinical decision-making, prolonged patient length of stay and risked negative health outcomes. Timely diagnostics, particularly for acute myocardial infarction, were essential but hindered by slow pre-analytical and analytical processes.
To address diagnostic delays and emergency department congestion, Ospedale San Raffaele implemented navify Analytics in partnership with Roche Healthcare Consulting. The team focused on redesigning sample flows, introducing pneumatic transport and integrating STAT methods for high-sensitivity troponin testing. By leveraging data analytics to track turnaround times and optimize each phase – pre-analytical, analytical and post-analytical – the lab reduced execution time for acute myocardial infarction testing by 45% and significantly improved clinical decision-making efficiency.
The evidence collected made it possible to reduce the execution times of a clinically strategic test for the diagnosis of Acute Myocardial Infarction by 45%.
Ospedale San Raffaele re-engineered its emergency testing workflow using navify Analytics to monitor and refine each step. Urgent samples were rerouted through a pneumatic system directly to the integrated pre-analytical station and analyzers. STAT testing methodology was introduced, supported by weekly performance reports and continuous collaboration between lab and emergency department teams. These changes enabled faster diagnostics for suspected acute myocardial infarction patients.
Results
Turnaround time for urgent samples dropped from 50 to 16 minutes.
Average overall test TAT decreased from 80 to 44 minutes.
Explore common questions about how navify Analytics helped Ospedale San Raffaele enhance diagnostic workflows and improve emergency care through data-driven process optimization.