Materials & Methods
The study involved a retrospective review of patients with suspected acute pulmonary embolism (PE), comparing outcomes before and after AI implementation. The pre-AI period spanned from Nov. 2022 to Feb. 2023, while the post-AI period covered Nov. 2023 to Feb. 2024. Patient medical records were analyzed to assess the type of intervention, time to intervention, and intensive care unit (ICU) length of stay (LoS).
Results
A total of 61 patients who underwent mechanical thrombectomy were identified, with 25 cases in the pre-AI period and 36 cases in the post-AI period, reflecting a 44% increase in procedures following AI implementation. The mean time to thrombectomy decreased from 22 hours to 16.8 hours, representing a 24% reduction. Additionally, the ICU LoS for thrombectomy patients was reduced from 80.2 hours to 35.8 hours, marking a 55.4% decrease. Regarding ultrasound-assisted catheter-directed thrombolysis (USAT), the number of procedures remained constant at 10 for both study periods. However, the mean time to intervention improved, decreasing from 22.6 hours to 11.6 hours (48.8% reduction). Likewise, CU LoS for USAT patients was reduced from 89 hours to 34 hours, achieving a 61.8% reduction.
Conclusions
The implementation of AI-triggered Pulmonary Embolism Response Team (PERT) activation demonstrated an improvement in patient management by reducing the time to intervention and ICU LoS for both mechanical thrombectomy and USAT patients. These findings underscore the potential of AI in enhancing clinical efficiency and optimizing patient outcomes in acute PE management.
Aidoc experts, customers and industry leaders share the latest in AI benefits and adoption.
Explore how clinical AI can transform your health system with insights rooted in real-world experiences.
Learn how to go beyond the algorithm to develop a scalable AI strategy and implementation plan.
Explore how Aidoc can help increase hospital efficiency, improve outcomes and demonstrate ROI.
