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Performance analysis of distributed and centralized models for electronic medical record exchanges
Ean-Wen Huang1, Chiung-San Lee, Wey-Wen Jiang
1Department of Information Management, National Taipei College of Nursing, Taiwan, ROC. huang@ntcn.edu.tw
Summary
This study evaluates three electronic medical record exchange models using queuing theory. Queuing analysis predicts response times and identifies bottlenecks for distributed, centralized, and indexed systems.
Area of Science:
- Health Informatics
- Computer Science
- Operations Research
Background:
- Electronic medical record (EMR) exchange is crucial for efficient healthcare delivery.
- Current EMR exchange models face challenges in performance and scalability.
- Optimizing EMR data transfer is essential to reduce costs and errors.
Purpose of the Study:
- To evaluate and compare the performance of distributed, centralized, and indexed EMR exchange models.
- To apply queuing theory for quantitative analysis of EMR exchange systems.
- To identify potential bottlenecks and assess system capacities.
Main Methods:
- Utilizing queuing theory to model EMR exchange processes.
- Estimating service times for CPU, database, and network queues.
- Analyzing response times, bottlenecks, and system capacities for each model.
Main Results:
- Quantitative performance metrics for distributed, centralized, and indexed EMR exchange models were derived.
- The queuing model identified specific bottlenecks within each exchange architecture.
- Predicted system capacities offer insights into scalability limitations.
Conclusions:
- Queuing theory provides a robust framework for evaluating EMR exchange model performance.
- Understanding model-specific bottlenecks is key to optimizing EMR data exchange efficiency.
- This analysis aids in selecting the most suitable EMR exchange model based on performance requirements.
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