Performance Evaluation of a Web-Based System to Exchange Electronic Health Records Using Queueing Model (M/M/1)

  • Authors:
  • Isabel Torre;Francisco Javier Díaz;Míriam Antón;Mario Martínez;José Fernando Díez;Daniel Boto;Miguel López;Roberto Hornero;María Isabel López

  • Affiliations:
  • Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain 47011;Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain 47011;Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain 47011;Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain 47011;Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain 47011;Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain 47011;Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain 47011;Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain 47011;University Institute of Applied Ophthalmobiology (IOBA), University of Valladolid, Valladolid, Spain 47011

  • Venue:
  • Journal of Medical Systems
  • Year:
  • 2012

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Abstract

Response time measurement of a web-based system is essential to evaluate its performance. This paper shows a comparison of the response times of a Web-based system for Ophthalmologic Electronic Health Records (EHRs), TeleOftalWeb. It makes use of different database models like Oracle 10 g, dbXML 2.0, Xindice 1.2, and eXist 1.1.1. The system's modelling, which uses Tandem Queue networks, will allow us to estimate the service times of the different components of the system (CPU, network and databases). In order to calculate those times, associated to the different databases, benchmarking techniques are used. The final objective of the comparison is to choose the database system resulting in the lowest response time to TeleOftalWeb and to compare the obtained results using a new benchmarking.