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Response Time Estimation of a Web-Based Electronic Health Record (EHR) System using Queuing Model

Response Time Estimation of a Web-Based Electronic Health Record (EHR) System using Queuing Model
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Author(s): Isabel de la Torre Díez (University of Valladolid, Campus Miguel Delibes, Spain), Francisco Javier Díaz Pernas (University of Valladolid, Campus Miguel Delibes, Spain), Miguel López Coronado (University of Valladolid, Campus Miguel Delibes, Spain), Roberto Hornero Sánchez (University of Valladolid, Campus Miguel Delibes, Spain), María Isabel López Gálvez (University Institute of Applied Ophthalmobiology (IOBA) & University of Valladolid, Edificio Ciencias de la Salud, Spain)and Miriam Antón Rodríguez (University of Valladolid, Campus Miguel Delibes, Spain)
Copyright: 2012
Pages: 13
Source title: Emerging Communication Technologies for E-Health and Medicine
Source Author(s)/Editor(s): Joel J.P.C. Rodrigues (Senac Faculty of Ceará, Fortaleza-CE, Brazil; Instituto de Telecomunicações, Portugal)
DOI: 10.4018/978-1-4666-0909-9.ch022

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Abstract

Response time measurement of a Web system is critically important to evaluate its performance. This response time is one of the main barriers usually found in the implementation of an effective Electronic Health Records (EHRs) system. The database selected will affect the system performance. This paper presents a comparison of the response times of a EHRs Web system, TeleOftalWeb, using different databases. In order to calculate these times, M/M/1 queuing models is used. Four databases were selected: Oracle 10g, dbXML 2.0, Xindice 1.2, and eXist 1.1.1. The final objective of the comparison is choosing the database system resulting in the lowest response time to TeleOftalWeb.

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