Artificial Intelligence (AI) is revolutionizing the care provided to stroke patients by enhancing triage and reducing treatment times through efficient clinical workflows. In fact, there has been a marked increase in the number of new clinical AI vendors entering the healthcare market. However, among the several AI solutions available, Aidoc sets itself apart in providing meaningful results.
A testament to Aidoc’s effectiveness is evident in a real-life institution, Ochsner LSU Shreveport, which trusted Aidoc with its stroke AI triage and care coordination. They collaborated on a Stroke Workflow Optimization Project, featuring a team with over 50 cumulative years of experience in stroke care. The goals were to identify and rectify inefficiencies and breakdowns in workflows, improve stroke patient awareness among care teams, and enhance overall performance metrics.
A significant part of the project was the integration of Aidoc’s care coordination mobile application, streamlining triage and coordination. Data was also collected to gauge the impact of transitioning from another AI vendor to Aidoc as the primary stroke triage AI system.
The results were remarkable. Post-implementation of Aidoc’s solution, Ochsner LSU Shreveport reported a 34% reduction in door-to-puncture (DTP) times for stroke patients, which equates to 38 minutes, and a 24% reduction in door-to-CT times, saving seven minutes. These efficiencies contributed to remarkable improvements and highlight the importance of selecting the right AI vendor.
The time saved in stroke treatment is quite significant, considering that approximately 1.9 million neurons die each minute that a stroke goes untreated. Therefore, the average 38-minute reduction in treatment time equates to preserving roughly 72.2 million neurons per patient. This time reduction is not only vital for the hospitals committed to providing top-quality stroke care but is also crucial for stroke patients.
Future research is required to understand the impacts of AI on incidental stroke findings, vessel occlusion location distribution, and its variable effects on different patient groups.
An abstract of this study was presented at the 2024 Annual Meeting of the Society of NeuroInterventional Surgery (SNIS). It underscored the efficiency enhancement in stroke care, through transitioning to a new AI vendor. The Aidoc-based Stroke solution incorporated Icometrix’s solutions, demonstrating how AI and optimized stroke workflow can result in significant time savings, thus improving healthcare outcomes.
