Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory

Yee Lam Elim Thompson; Gary Levine; Weijie Chen; Berkman Sahiner; Qin Li; Nicholas Petrick; Frank Samuelson

doi:10.1117/12.2603184

4 April 2022 Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory

Yee Lam Elim Thompson, Gary Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, Frank Samuelson

Author Affiliations +

Proceedings Volume 12035, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment; 120350Q (2022) https://doi.org/10.1117/12.2603184
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

A Computer-Aided Triage and Notification (CADt) device uses artificial intelligence (AI) to prioritize radiological medical images and speed up reviews of diseased cases in time-sensitive conditions such as stroke, intercranial hemorrhage, and pneumothorax. However, questions remain on the quantitative assessment of the clinical effectiveness of CADt devices for speeding the review of patient images with time-sensitive conditions. This work presents an analytical method based on queueing theory to quantify the wait-time-savings and to study the impacts of CADt in various clinical settings. Theoretical results are consistent with clinical intuition and are verified by Monte Carlo simulations.

Conference Presentation

Citation Download Citation

Yee Lam Elim Thompson, Gary Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, and Frank Samuelson "Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory", Proc. SPIE 12035, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment, 120350Q (4 April 2022); https://doi.org/10.1117/12.2603184

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available