Risk-Stratified Screening: A Simulation Study of Scheduling Templates on Daily Mammography Recalls.

ABSTRACT:

Introduction

Risk-stratified screening (RSS) scheduling may facilitate more effective use of same-day diagnostic testing for potentially abnormal mammograms, thereby reducing the need for follow-up appointments ("recall"). Our simulation study assessed the potential impact of RSS scheduling on patients recommended for same-day diagnostics.

Methods

We used a discrete event simulation to model workflow at a high-volume breast imaging center, incorporating artificial intelligence (AI)-triaged same-day diagnostic workups after screening mammograms. The RSS design sequences patients in the daily screening schedule using cancer risk categories developed from Tyrer-Cuzick and deep learning model scores. We compared recall variance, required hours of operation to accommodate all pat

SUBMITTER: Lin Y 

PROVIDER: S-EPMC11925393 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature