Abstract TP194: Optimizing Time-to-Recanalization: An In-Situ Simulation Approach for Neuroangiography Suite Efficiency

Introduction: The neuroangiography suite is a complex medical environment to navigate during an an emergency. Given the nature of subspecialty practice, the names of tools are unfamiliar and there are multiple categories to become familiar with, including varying proceduralists’ preferences for table and catheter system setup, which can be overwhelming. Delays in room and table setup for stroke codes can delay procedural start times impacting time-to-recanalization and other time-metrics critical to optimizing beneficial outcomes of acute stroke therapy. An immersive in-situ simulation module was designed for participants including a standard didactic, simulated code and task performance rating tracked with time metrics to correlate with real-world quality metrics for comprehensive optimized cerebrovascular care in the delivery of mechanical thrombectomy therapy. Methods/Assessments: The training was an in-situ simulation designed as a "scavenger hunt" following a didactic lecture. The simulation was triggered by a mock stroke code for large vessel occlusion. Two groups of three learners each participated with their performance on key tasks (sterile procedure, setting up table, preparing drip lin, and selection of stroke intervention tools) being both timed and rated. A debriefing session was held after the completion of the tasks, with a token award presented to the faster team to promote engagement. Anticipated Impact on Quality of Stroke Care: After participation in the session, debriefing was conducted where Assessments were reviewed with participants and a discussion of metrics for delivery of therapy was facilitated. Time metrics are monitored by the institutional stroke program and followed to examine the impact of the designed scenario on clinical workflow and improving timeliness of therapy for delivery of intra-arterial stroke therapies. Conclusion: The combination of didactic instruction, immersive in-situ simulation module, and a detailed debriefing process allows for the direct correlation of improved simulation performance with the potential for faster, more efficient care in real-world clinical scenarios. We anticipate that this training will not only boost staff confidence but will also translate into measurable improvements in our institutional stroke program's "arrival-to-access" times, ultimately optimizing the delivery of life-saving mechanical thrombectomy therapy.