14205
Blog
Megan Mosley

Advancements in PE Management: Recent Studies Share a Glimpse into Aidoc's Impact

Pulmonary Embolism, Workflow
Table of Contents

Aidoc recently attended the Pulmonary Embolism Response Team (PERT) Symposium, where compelling evidence of AI’s ability to transform pulmonary embolism (PE) clinical workflows and impact patient care was showcased. Aidoc was represented in several poster presentations shared at the event, including studies centered around identifying previously missed PE patients, increasing appropriate intervention rates and enhancing efficient workflows.

Here are some key takeaways from the studies that mentioned Aidoc:

University Hospitals Cleveland Medical Center: Uncovering Hidden Risks

UH Cleveland presented insights into how Aidoc’s AI identifies patients who might otherwise be overlooked. Cases activated through the AI-driven workflow showed a significantly higher average RV/LV ratio (1.39±0.31) compared to traditional pager system activations (1.09±0.21, p<0.001). This indicates that the Aidoc platform effectively targets PE patients with radiological evidence of Right Ventricular (RV) strain.

A standout finding was that 10.8% of patients who ultimately underwent a procedure were identified exclusively via the AI pathway. The takeaway? AI is not merely a redundant layer, but is successfully identifying a subset of critical findings who would have been missed by traditional workflows, leading to earlier identification and reduced activation latency. Dual-activation cases (AI + traditional) also resulted in a much higher rate of procedural interventions (33.6%) compared to traditional-only activations (9.7%), further underscoring the AI’s value.

Access the data.

Temple University Hospital: Speed and Efficacy in Action

Temple University Hospital’s poster showcased how Aidoc helped expedite workflows and enhance intervention rates. Their AI-driven PERT workflow was associated with nearly 2 times the volume of appropriate advanced interventions, specifically an 89% increase in thrombectomies. This demonstrates how Aidoc’s solution helps convert more eligible cases into treated patients, even when normalized for overall patient volume.

Temple University Hospital also shared a 19% reduction in the median time from patient scan to thrombectomy, dropping from 14.9 hours to 12.1 hours. This emphasizes the solution’s ability to improve the speed of acute PE management.

Access the data.

Methodist Hospital San Antonio: Scaling AI for System-Wide Impact

Methodist Hospital San Antonio1 demonstrated the power of Aidoc’s AI-enabled workflow for large-scale, automated PE solution across a multi-hospital system. In a six-month study, the AI system analyzed 73,908 contrast-enhanced CT studies, successfully identifying 1,394 suspected positive PE cases. This highlights the platform’s high throughput and its capability to standardize care across an entire health system.

Notably, in the study, 3 patients changed from Intermediate to High Risk due to changes in labs and vitals, showcasing the value of continuous, data-driven monitoring. The system’s precision in identifying the most critical patients was also evident, successfully identifying 100% of confirmed High-Risk PE cases among those risk-categorized.

Jamaica Hospital Medical Center: Increasing the Rate of Interventional Therapies

Jamaica Hospital Medical Center (JHMC) presented striking results highlighting Aidoc’s role in enabling more life-changing interventions for PE patients. Their findings revealed that after implementing Aidoc, JHMC saw a 73% increase in referrals for endovascular interventions in intermediate-high and high-risk PE patients. This significant and sustained increase underscores how Aidoc can help triage time-sensitive, life-threatening cases and expedite appropriate care.

The diagnostic accuracy of Aidoc’s algorithms also contributed to better patient outcomes. For example, a reported sensitivity of 92.7% and a specificity of 95.5% led to decreased time from diagnosis to intervention, reduced hospital stays and lower mortality rates for high-acuity PE patients.

Access the data.

The Future of PE Management Is Here

The data from the PERT Symposium unequivocally demonstrates the transformative impact of Aidoc’s AI in PE management. From significantly increasing appropriate intervention rates and reducing time-to-treatment to identifying previously missed cases and scaling automated triage across large health systems, these insights offer a compelling vision for the future of PE care — a future where AI empowers clinicians to deliver more timely, accurate, and ultimately, life-saving interventions.

Citation

  1. Burch, C., Castaneda, P., Scheid, A., Wilson, K., & Melo, J. (n.d.). Implementation of an AI-Enabled PERT Workflow for Dynamic Risk Stratification in Pulmonary Embolism Across a Multi-Hospital Health System. San Antonio, Texas; Methodist Healthcare.

Explore the Latest AI Insights, Trends and Research

Follow a manual added link

Webinars

Aidoc experts, customers and industry leaders share the latest in AI benefits and adoption.

Follow a manual added link

eBooks

Explore how clinical AI can transform your health system with insights rooted in real-world experiences.

Follow a manual added link

AI Strategy

Learn how to go beyond the algorithm to develop a scalable AI strategy and implementation plan.

Follow a manual added link

Solutions

Explore how Aidoc can help increase hospital efficiency, improve outcomes and demonstrate ROI.

Megan Mosley
Megan Mosley is a B2B content marketer with experience in health and wellness, healthcare tech and other tech industries. She is the Manager for Marketing Communications, focusing on Aidoc’s neurovascular and cardiovascular solutions.
Megan Mosley
Manager, Neurovascular and Cardiovascular Marketing Communications

© Copyright 2025 Aidoc