Integrating AI into Clinical Workflows: A Simulation Study on Implementing AI-aided Same-day Diagnostic Testing Following an Abnormal Screening Mammogram.

Journal: AMIA ... Annual Symposium proceedings. AMIA Symposium
Published Date: May 22, 2025

Abstract

Artificial intelligence (AI) shows promise in clinical tasks, yet its integration into workflows remains underexplored. This study proposes an AI-aided same-day diagnostic imaging workup to reduce recall rates following abnormal screening mammograms and alleviate patient anxiety while waiting for the diagnostic examinations. Using discrete simulation, we found minimal disruption to the workflow (a 4% reduction in daily patient volume or a 2% increase in operating time) under specific conditions: operation from 9 am to 12 pm with all radiologists managing all patient types (screenings, diagnostics, and biopsies). Costs specific to the AI-aided same-day diagnostic workup include AI software expenses and potential losses from unused pre-reserved slots for same-day diagnostic workups. These simulation findings can inform the implementation of an AI-aided same-day diagnostic workup, with future research focusing on its potential benefits, including improved patient satisfaction, reduced anxiety, lower recall rates, and shorter time to cancer diagnoses and treatment.

Authors

  • Yannan Lin
    Medical & Imaging Informatics, Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
  • Anne C Hoyt
    Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
  • Vladimir G Manuel
    Department of Family Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
  • Moira Inkelas
    UCLA Clinical and Translational Science Institute, Los Angeles, CA, USA.
  • Cleo K Maehara
    Department of Biomedical Informatics, University of California, San Diego, CA.
  • Mehmet Ulvi Saygi Ayvaci
    Naveen Jindal School of Management at the University of Texas at Dallas, Richardson, TX, USA.
  • Mehmet Eren Ahsen
    Department of Business Administration, University of Illinois at Urbana Champaign, Champaign, Illinois.
  • William Hsu
    Medical & Imaging Informatics, Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA.

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