The University of Texas Medical Branch (UTMB) is a four campus, 650 bed health system that leverages a hub and spoke model for pulmonary embolism (PE) care. Each year 40-60 PE patients are hospitalized.
Mohammed Zaidan, MD, Assistant Professor, Division of Pulmonary and Critical Care & Sleep Medicine, UTMB, said in a recent webinar that prior to Pulmonary Embolism Response Team (PERT) and AI integration, communication about patients and treatment recommendations were sometimes delayed, and decisions about appropriate therapies were “left to the whim of whoever was on call that day.”
Post-PERT and post-AI, UTMB was able to implement a team-based, multi-disciplinary approach to PE patient management that led to better cross-department communication of intermediate and high-risk PE patients. Results from this AI-optimized PERT workflow were shared at the ninth annual Pulmonary Embolism Symposium. Below Dr. Zaiden gives a brief overview of the abstract.
View the full on-demand webinar, “Real-World Experience and Clinical Outcomes with AI-Driven PERT Workflows,” for more insights from Dr. Zaidan’s experiences with AI-powered PERT workflows at UTMB.
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.
