Optimized, Person-Centered Workflow Design for a High-Throughput Breast MRI Screening Facility-A Simulation Study.
Invest Radiol
; 59(7): 538-544, 2024 Jul 01.
Article
em En
| MEDLINE
| ID: mdl-38193779
ABSTRACT
OBJECTIVES:
This project aims to model an optimal scanning environment for breast magnetic resonance imaging (MRI) screening based on real-life data to identify to what extent the logistics of breast MRI can be optimized. MATERIALS ANDMETHODS:
A novel concept for a breast MRI screening facility was developed considering layout of the building, workflow steps, used resources, and MRI protocols. The envisioned screening facility is person centered and aims for an efficient workflow-oriented design. Real-life data, collected from existing breast MRI screening workflows, during 62 scans in 3 different hospitals, were imported into a 3D simulation software for designing and testing new concepts. The model provided several realistic, virtual, logistical pathways for MRI screening and their outcomemeasures:
throughput, waiting times, and other relevant variables.RESULTS:
The total average appointment time in the baseline scenario was 2554 minutes, with 1906 minutes of MRI room occupation. Simulated improvements consisted of optimizing processes and resources, facility layout, and scanning protocol. In the simulation, time spent in the MRI room was reduced by introducing an optimized facility layout, dockable tables, and adoption of an abbreviated MRI scanning protocol. The total average appointment time was reduced to 1936 minutes, and in this scenario, the MRI room was occupied for 0621 minutes. In the most promising scenario, screening of about 68 people per day (10 hours) on a single MRI scanner could be feasible, compared with 36 people per day in the baseline scenario.CONCLUSIONS:
This study suggests that by optimizing workflow MRI for breast screening total appointment duration and MRI occupation can be reduced. A throughput of up to 6 people per hour may be achieved, compared with 3 people per hour in the current setup.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Simulação por Computador
/
Neoplasias da Mama
/
Imageamento por Ressonância Magnética
/
Fluxo de Trabalho
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
/
Screening_studies
Limite:
Female
/
Humans
Idioma:
En
Revista:
Invest Radiol
Ano de publicação:
2024
Tipo de documento:
Article