Abstract Body: Introduction:
Pulsara and Viz.ai are advanced technologies designed to streamline acute stroke care. Pulsara facilitates real-time communication and dynamic team building for stroke management, ensuring rapid connection with neurologists and interventionalists. Viz.ai uses AI-powered algorithms to accelerate diagnosis and optimize care pathways, improving outcomes by enhancing coordination between neurology and interventionalist teams. This study evaluates whether these innovations have led to significant reductions in treatment times and length of stay (LOS) in a single center.
Methods:
We conducted a single-center, retrospective analysis comparing acute ischemic stroke and TIA patients across three periods: pre-Pulsara (January 1, 2013–July 31, 2018; n=96), post-Pulsara/pre-Viz (August 1, 2018–April 30, 2022; n=71), and post-Viz (May 1, 2022–December 31, 2023; n=28). We analyzed door-to-CT, door-to-needle, and door-to-puncture times using the Kruskal-Wallis test, followed by pairwise Wilcoxon tests with Bonferroni correction for post-hoc comparisons.
Results:
Significant reductions in treatment times were observed across the three periods. Median door-to-needle time decreased significantly from 59.05 minutes pre-Pulsara to 29.78 minutes post-Viz (p < 0.001). Median door-to-CT time improved from 16.75 minutes pre-Pulsara to 9.54 minutes post-Viz (p < 0.01). Median door-to-puncture time showed substantial reduction from 131.42 minutes pre-Pulsara to 61.69 minutes post-Viz (p < 0.01). However, no significant differences were observed in LOS between the groups.
Conclusion:
The integration of Pulsara and Viz.ai into stroke care significantly reduced critical treatment times, particularly in door-to-needle and door-to-puncture metrics, underscoring the effectiveness of these technologies in enhancing the speed and coordination of acute stroke management. However, no significant impact on length of stay was observed, suggesting that further factors may influence this outcome.