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Related Experiment Video

Updated: May 19, 2026

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function
10:21

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Published on: August 8, 2019

Simulation of radiology workflow and throughput.

Lars Lindsköld1, Mikael Wintell, Peter Aspelin

  • 1Karolinska Institutet, Stockholm, Sweden. Lars.Lindskold@ki.se

Radiology Management
|August 23, 2012
PubMed
Summary
This summary is machine-generated.

Discrete event simulation can predict radiology department changes. This study validated its use for planning new MRI suite implementation and room closures, ensuring efficient patient throughput.

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Area of Science:

  • Healthcare Management
  • Radiology Operations
  • Simulation Modeling

Background:

  • Healthcare is rapidly evolving due to electronic health technologies.
  • Radiology departments require new planning strategies for technological integration.
  • Limited research exists on predicting the impact of new healthcare technologies.

Purpose of the Study:

  • To validate discrete event simulation for planning radiology department changes.
  • To predict examination throughput after acquiring a new MRI suite and closing older rooms.

Main Methods:

  • Utilized discrete event simulation.
  • Based scenarios on real local and regional examination throughput data.
  • Modeled the impact of a new MRI suite and the closure of two existing rooms.

Main Results:

  • The study successfully validated discrete event simulation for operational planning.
  • Simulation provided insights into future examination throughput.
  • Identified potential bottlenecks and efficiencies in radiology workflow.

Conclusions:

  • Discrete event simulation is a valuable tool for radiology department planning.
  • This method can proactively address the effects of technological implementation and resource changes.
  • Supports informed decision-making for optimizing radiology services.