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Performance evaluation of a web-based system to exchange Electronic Health Records using Queueing model (M/M/1)
Isabel de la Torre1, Francisco Javier Díaz, Míriam Antón
1Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain. isator@tel.uva.es
Journal of Medical Systems
|August 13, 2010
Summary
This study compared web-based ophthalmology Electronic Health Records (EHRs) response times using various databases. Benchmarking identified the optimal database for improved system performance and reduced TeleOftalWeb response times.
Area of Science:
- Health Informatics
- Computer Science
- Database Management Systems
Background:
- Evaluating web-based system performance is crucial for user experience and efficiency.
- Ophthalmologic Electronic Health Records (EHRs) systems require fast response times for effective clinical use.
- The TeleOftalWeb system's performance needs optimization through database selection.
Purpose of the Study:
- To compare the response times of the TeleOftalWeb system using different database models.
- To identify the database system that yields the lowest response time for the ophthalmologic EHR system.
- To evaluate system components' service times using Tandem Queue networks and benchmarking.
Main Methods:
- Web-based system performance evaluation using response time measurement.
- Comparison of Oracle 10g, dbXML 2.0, Xindice 1.2, and eXist 1.1.1 database models.
- System modeling with Tandem Queue networks to estimate component service times (CPU, network, databases).
- Application of benchmarking techniques for database performance assessment.
Main Results:
- Quantified response times for TeleOftalWeb across four distinct database systems.
- Identified performance differences attributed to CPU, network, and database components.
- Benchmarking results provided data for selecting the most efficient database for the ophthalmologic EHR.
Conclusions:
- Database selection significantly impacts the response time of web-based ophthalmologic EHR systems.
- Tandem Queue network modeling offers a method for estimating service times in complex systems.
- The study provides a basis for optimizing TeleOftalWeb performance through informed database choice.
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