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Using Discrete Event Simulation to Design and Assess an AI-aided Workflow for Same-day Diagnostic Testing of Women Undergoing Breast Screening.
- Source :
-
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2024 May 31; Vol. 2024, pp. 314-323. Date of Electronic Publication: 2024 May 31 (Print Publication: 2024). - Publication Year :
- 2024
-
Abstract
- The process of patients waiting for diagnostic examinations after an abnormal screening mammogram is inefficient and anxiety-inducing. Artificial intelligence (AI)-aided interpretation of screening mammography could reduce the number of recalls after screening. We proposed a same-day diagnostic workup to alleviate patient anxiety by employing an AI-aided interpretation to reduce unnecessary diagnostic testing after an abnormal screening mammogram. However, the potential unintended consequences of introducing this workflow in a high-volume breast imaging center are unknown. Using discrete event simulation, we observed that implementing the AI-aided screening mammogram interpretation and same-day diagnostic workflow would reduce daily patient volume by 4%, increase the time a patient would be at the clinic by 24%, and increase waiting times by 13-31%. We discuss how changing the hours of operation and introducing new imaging equipment and personnel may alleviate these negative impacts.<br /> (©2024 AMIA - All rights reserved.)
Details
- Language :
- English
- ISSN :
- 2153-4063
- Volume :
- 2024
- Database :
- MEDLINE
- Journal :
- AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
- Publication Type :
- Academic Journal
- Accession number :
- 38827101