12172
clinical study

Impact of AI-Based Prioritization and Triage on Wait Times for Suspected Incidental Pulmonary Embolism in Routine Contrast Enhanced Abdominal CT Scans at a Large Academic Institution

Materials & Methods

This study evaluated the effectiveness of an AI-driven system (Aidoc) for alerting to suspected incidental pulmonary embolisms (iPE) on routine outpatient abdominal CT scans that do not include dedicated chest imaging. AI was used to analyze 4,447 contrast-enhanced abdominal CT scans performed between January to July 2023. Notifications for suspected iPE were triggered in 3.2% of cases.

Results

In measuring the time from CT scan completion to the start of the radiologist’s report dictation, cases with suspected PE flagged by AI had a median wait time for radiologist review of 37.7 minutes, compared to 168.5 minutes for cases not flagged by AI. This represents a 78% reduction in wait time.

Conclusions

Findings indicate that AI-triggered notifications can significantly enhance workflow efficiency and expedite the reporting of potentially life-threatening incidental PE, which may lead to more timely interventions.

Explore the Latest AI Insights, Trends and Research

Ayden Jacob, MD, MSc

<p>Ayden Jacob, MD, MSc, is a physician-engineer with expertise in AI, data science and healthcare economics. He’s passionate about leveraging AI and data science to solve complex healthcare issues through the specific prism of economics and finance. At Aidoc, Dr. Jacob’s work focuses on quantifying the clinical and financial impact of innovative AI solutions deployed throughout the healthcare ecosystem.</p> <p>Dr. Jacob’s diverse expertise reflects a commitment to advancing healthcare through data-driven solutions that enhance both patient outcomes and operational effectiveness. A graduate of Yeshiva University and the University of Oxford, Dr. Jacob employs an interdisciplinary approach to innovating at the intersection of clinical medicine, engineering and informatics.</p>

Marlee Ravid

<p>Marlee Ravid brings over a decade of experience in content marketing, communications and customer engagement to her role as Customer Marketing Manager at Aidoc.</p> <p>She strategically executes innovative programs that amplify the leadership of both Aidoc and its customers, helping to position them as visionaries in healthcare. Having been with Aidoc since its early days, Ravid has worked closely with leadership to build and implement comprehensive marketing strategies, from content development to demand generation and brand awareness.</p> <p>She holds a bachelor’s degree from Georgia State University and a master’s degree from Tel Aviv University.</p>

Aidoc Staff