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. 2024 May 31;2024:314–323.

Table 1.

Parameters of discrete event simulation models.

Name Personnel Capacity Condition Distribution of length of stay (hour)
Operating hours NA NA Stops patient check-in at 8.5 hours and closes at 9 hours NA
Patient arrival NA NA Arrival rate: 6 per hour Mean interarrival time: 1/arrival rate Poisson process
Patient check-in Staff 3 NA Normal (0.05, 0.01)
Public waiting room NA 20 Normal (0.17, 0.034)
Consent room LVN/trainee 1 NA Normal (0.17, 0.034)
Dressing room NA 3 NA Normal (0.03, 0.006)
Gowned waiting room NA 5 NA Normal (0.017, 0.0034)
AI assessment (revised workflow only) Radiologist NA The percentage of the screener needs a diagnostic imaging examination Normal (12%, 5%) Normal (0.25, 0.05)
Sensitivity analysis:
AI recall rate: uniform (0.1, 0.2, 0.3)
Radiologists agree with the AI rate: uniform (0.7, 0.8, 0.9)
Sensitivity analysis:
AI: normal (0.05, 0.01)
Radiologist: normal (0.20, 0.04)
2D/3D Screening mammography Mammo technologist 3 (mammo); 50.3% screeners/day Normal (0.17, 0.034)
Diagnostic imaging Mammo/US technologist 2 (US) 45.0% diagnostic imaging patients/day
(Diagnostic mammo + diagnostic US: 80%;
Diagnostic US: 10%; Diagnostic mammo: 10%)
Diagnostic mammo: normal (0.5, 0.1);
Diagnostic US: normal (0.5, 0.1)
Core needle biopsy Mammo/US technologist, radiologist, LVN/trainee 4.0% US-guided biopsy/day
0.7% stereotactic-guided biopsy/day
US-guided biopsy: normal (0.75, 0.15);
Stereotactic-guided biopsy: normal (1.25, 0.25)

Notes: Imaging equipment is shared resources across all imaging examinations and procedures (e.g., mammography equipment can be used for screening mammography, diagnostic mammography, or stereotactic-guided biopsy). Abbreviations: LVN: licensed vocational nurse; AI: artificial intelligence; 2D: two-dimensional; 3D: three-dimensional; mammo: mammography; US: ultrasound; NA: not applicable.