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Optimized, Person-Centered Workflow Design for a High-Throughput Breast MRI Screening Facility-A Simulation Study.

Lejla Kočo¹, Luuk Balkenende, Linda Appelman

¹From the Department of Imaging, Radboud University Medical Center, Nijmegen, the Netherlands (L.K., L.A., M.P., R.M.M.); Department of Radiology, The Netherlands Cancer Institute (Antoni van Leeuwenhoek), Amsterdam, the Netherlands (L.B., R.M.M.); Department of Radiology, Alexander Monro Hospital, Bilthoven, the Netherlands (L.A., M.R.M.); and Siemens Healthcare GmbH, Erlangen, Germany (A.S., M.S.).

Investigative Radiology

|January 9, 2024

Summary

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This summary is machine-generated.

Optimizing breast magnetic resonance imaging (MRI) screening logistics can significantly reduce appointment times and MRI scanner usage. This simulation-based study shows a potential increase in patient throughput, improving efficiency for breast MRI services.

Area of Science:

Radiology
Healthcare Management
Operations Research

Background:

Breast cancer screening relies heavily on timely and efficient diagnostic imaging.
Magnetic Resonance Imaging (MRI) offers high sensitivity for breast cancer detection but can face logistical challenges in screening settings.
Optimizing the patient journey and resource utilization in breast MRI screening is crucial for increasing access and throughput.

Purpose of the Study:

To model and evaluate an optimized scanning environment for breast MRI screening.
To determine the extent to which breast MRI screening logistics can be improved using real-world data and simulation.
To develop a person-centered, workflow-oriented design for a breast MRI screening facility.

Main Methods:

A novel breast MRI screening facility concept was developed, integrating building layout, workflow, resources, and MRI protocols.

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Real-life data from 62 scans across 3 hospitals were used to build and test concepts in 3D simulation software.

The simulation modeled various logistical pathways, measuring outcomes like throughput and waiting times.

Main Results:

The baseline scenario showed an average appointment time of 25:54 minutes and 19:06 minutes of MRI room occupation.
Simulated improvements, including optimized layout, dockable tables, and abbreviated scanning protocols, reduced average appointment time to 19:36 minutes and MRI room occupation to 6:21 minutes.
The most promising scenario projected a throughput of approximately 68 people per day (10 hours) with a single MRI scanner, compared to 36 people per day in the baseline.

Conclusions:

Optimizing workflow in breast MRI screening can significantly decrease total appointment duration and MRI scanner occupation.
A throughput of up to 6 people per hour is achievable with optimized processes, a substantial increase from the current 3 people per hour.
The study demonstrates the feasibility of enhancing breast MRI screening efficiency through logistical and protocol optimization.