Scenario-Based Simulation Modeling for Performance and Efficiency Improvement in an Ultrasonography Department

Area of Science:

• Operations Research in Healthcare
• Healthcare Management Systems
• Simulation Modeling

Background:

• Ultrasonography departments face challenges in managing variable patient arrivals and service times.
• Optimizing resource allocation and patient satisfaction are key hospital performance indicators.
• Stochastic operations in diagnostic imaging departments necessitate advanced management strategies.

Purpose of the Study:

• To enhance ultrasonography department performance by reducing average waiting time and total system time.
• To improve resource utilization within a busy private healthcare facility.
• To evaluate the impact of operational changes and Internet of Things (IoT) integration on departmental efficiency.

Main Methods:

• Employed a simulation-based optimization approach to model complex operational dynamics.
• Evaluated current system performance and simulated multiple alternative operational scenarios.
• Incorporated Internet of Things (IoT) applications into simulation models to assess their impact.

Main Results:

• Optimized system configurations significantly decreased patient waiting times and total time in the system.
• Simulation demonstrated substantial improvements in resource utilization.
• Integration of Internet of Things (IoT) applications yielded further performance enhancements in tested scenarios.

Conclusions:

• Simulation-based optimization offers a robust decision-support framework for ultrasonography departments.
• Strategic resource allocation and IoT integration can boost operational efficiency and patient satisfaction.
• Data-driven decision-making is crucial for managing complex, stochastic healthcare systems effectively.