A modular method for evaluating the performance of picture archiving and communication systems

Area of Science:

• Medical Informatics
• Computer Science
• Performance Engineering

Background:

• Early design choices significantly impact Picture Archiving and Communication System (PACS) implementation performance.
• Evaluating complex PACS configurations requires a modular approach to investigate alternative designs efficiently.
• Stochastic Activity Networks (SANs) are suitable for modeling concurrent activities and their interdependencies in systems like PACS.

Purpose of the Study:

• To investigate the application of SANs and reduced base model construction techniques for evaluating PACS performance.
• To demonstrate a modular modeling methodology for assessing PACS configurations under various load conditions.
• To provide insights into system response times and component utilizations for PACS design.

Main Methods:

• Utilized Stochastic Activity Networks (SANs) for system modeling.
• Employed reduced base model construction methods for enhanced modularity and component reusability.
• Employed UltraSAN, a graphical software tool, for model specification, analysis, and simulation.
• Evaluated a PACS for a 300-400 bed hospital.

Main Results:

• Successfully modeled and evaluated a realistically sized PACS.
• Derived system response times and component utilizations for the evaluated PACS configuration.
• Demonstrated the feasibility of using SANs for early-stage PACS performance prediction.

Conclusions:

• SANs combined with modular modeling offer an effective method for early PACS design evaluation.
• This approach facilitates the investigation of alternative PACS configurations and designs.
• The methodology aids in optimizing PACS performance by predicting response times and utilizations.