The use of simulation in radiology

Area of Science:

• Healthcare Management
• Radiology Informatics
• Operations Research

Background:

• Healthcare organizations, particularly radiology departments, are undergoing significant transformation.
• Predicting the impact of new technologies and work practice changes in radiology is challenging due to a lack of specific literature.
• Understanding complex systems through data collection and mining is crucial for effective change management.

Purpose of the Study:

• To analyze the application of simulation models in healthcare, with a focus on radiology, for predicting the outcomes of work practice modifications.
• To address the gap in literature regarding the use of simulation for envisioning new technologies within radiology workflows.
• To explore simulation as a tool for facilitating individual and organizational adaptation to healthcare process changes.

Main Methods:

• Literature review of simulation models used as planning tools for work practice changes.
• Analysis of studies on data collection and mining for understanding complex healthcare systems.
• Examination of simulation's potential role in managing change within radiology.

Main Results:

• Simulation models can serve as valuable planning tools for predicting the impact of changes in healthcare work practices.
• Data collection and mining are effective for understanding complex systems and applying simulation in radiology.
• Simulation can assist individuals in comprehending and adapting to changes in healthcare processes.

Conclusions:

• Simulation is a viable technique for predicting the outcomes of work practice changes in healthcare, particularly in radiology.
• Further research is needed to fully leverage simulation for integrating new technologies into radiology workflows.
• Simulation can empower healthcare professionals to better understand and navigate transformation processes.