Multi-criteria analysis for OS-EMR software selection problem: A comparative study

Abstract Various software packages offer a large number of customizable features to meet the specific needs of organizations. Improper selection of a software package may result in incorrect strategic decisions and subsequent economic loss of organizations. This paper presents a comparative study th...

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Main Authors: Zaidan, A.A., Zaidan, B.B., Hussain, M., Haiqi, A., Mat Kiah, Miss Laiha, Abdulnabi, M.
Format: Article
Published: Elsevier 2015
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Online Access:http://eprints.um.edu.my/19310/
http://dx.doi.org/10.1016/j.dss.2015.07.002
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author Zaidan, A.A.
Zaidan, B.B.
Hussain, M.
Haiqi, A.
Mat Kiah, Miss Laiha
Abdulnabi, M.
author_facet Zaidan, A.A.
Zaidan, B.B.
Hussain, M.
Haiqi, A.
Mat Kiah, Miss Laiha
Abdulnabi, M.
author_sort Zaidan, A.A.
building UM Library
collection Institutional Repository
content_provider Universiti Malaya
content_source UM Research Repository
continent Asia
country Malaysia
description Abstract Various software packages offer a large number of customizable features to meet the specific needs of organizations. Improper selection of a software package may result in incorrect strategic decisions and subsequent economic loss of organizations. This paper presents a comparative study that aims to evaluate and select open-source electronic medical record (OS-EMR) software based on multiple-criteria decision-making (MCDM) techniques. A hands-on study is performed, and a set of OS-EMR software are implemented locally in separate virtual machines to closely examine the systems. Several measures as evaluation bases are specified, and systems are selected based on a set of metric outcomes by using AHP integrated with different MCDM techniques, namely, WPM, WSM, SAW, HAW, and TOPSIS. Paired sample t-test is then utilized to measure the correlations among different techniques on ranking scores and orders. Findings are as follows. (1) Significant differences exist among MCDM techniques on the basis of different integrations on ranking scores, whereas no significant differences exist among them when representing the ranking scores to the ranking orders in place of the technique scale. (2) The software GNUmed, OpenEMR, OpenMRS, and ZEPRS do not differ in ranking scores/orders of experiments for all MCDM techniques presented. On the contrary, discrepancies among the ranking scores/orders are more noticeable in other software. (3) GNUmed, OpenEMR, and OpenMRS software are the most promising candidates for providing a good basis on ranking scores/orders, whereas ZEPRS is not recommended because it records the worst ranking score/order in comparison with other OS-EMR software.
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spelling my.um.eprints-193102021-02-10T03:11:39Z http://eprints.um.edu.my/19310/ Multi-criteria analysis for OS-EMR software selection problem: A comparative study Zaidan, A.A. Zaidan, B.B. Hussain, M. Haiqi, A. Mat Kiah, Miss Laiha Abdulnabi, M. QA75 Electronic computers. Computer science Abstract Various software packages offer a large number of customizable features to meet the specific needs of organizations. Improper selection of a software package may result in incorrect strategic decisions and subsequent economic loss of organizations. This paper presents a comparative study that aims to evaluate and select open-source electronic medical record (OS-EMR) software based on multiple-criteria decision-making (MCDM) techniques. A hands-on study is performed, and a set of OS-EMR software are implemented locally in separate virtual machines to closely examine the systems. Several measures as evaluation bases are specified, and systems are selected based on a set of metric outcomes by using AHP integrated with different MCDM techniques, namely, WPM, WSM, SAW, HAW, and TOPSIS. Paired sample t-test is then utilized to measure the correlations among different techniques on ranking scores and orders. Findings are as follows. (1) Significant differences exist among MCDM techniques on the basis of different integrations on ranking scores, whereas no significant differences exist among them when representing the ranking scores to the ranking orders in place of the technique scale. (2) The software GNUmed, OpenEMR, OpenMRS, and ZEPRS do not differ in ranking scores/orders of experiments for all MCDM techniques presented. On the contrary, discrepancies among the ranking scores/orders are more noticeable in other software. (3) GNUmed, OpenEMR, and OpenMRS software are the most promising candidates for providing a good basis on ranking scores/orders, whereas ZEPRS is not recommended because it records the worst ranking score/order in comparison with other OS-EMR software. Elsevier 2015 Article PeerReviewed Zaidan, A.A. and Zaidan, B.B. and Hussain, M. and Haiqi, A. and Mat Kiah, Miss Laiha and Abdulnabi, M. (2015) Multi-criteria analysis for OS-EMR software selection problem: A comparative study. Decision Support Systems, 78. pp. 15-27. ISSN 0167-9236, DOI https://doi.org/10.1016/j.dss.2015.07.002 <https://doi.org/10.1016/j.dss.2015.07.002>. http://dx.doi.org/10.1016/j.dss.2015.07.002 doi:10.1016/j.dss.2015.07.002
spellingShingle QA75 Electronic computers. Computer science
Zaidan, A.A.
Zaidan, B.B.
Hussain, M.
Haiqi, A.
Mat Kiah, Miss Laiha
Abdulnabi, M.
Multi-criteria analysis for OS-EMR software selection problem: A comparative study
title Multi-criteria analysis for OS-EMR software selection problem: A comparative study
title_full Multi-criteria analysis for OS-EMR software selection problem: A comparative study
title_fullStr Multi-criteria analysis for OS-EMR software selection problem: A comparative study
title_full_unstemmed Multi-criteria analysis for OS-EMR software selection problem: A comparative study
title_short Multi-criteria analysis for OS-EMR software selection problem: A comparative study
title_sort multi-criteria analysis for os-emr software selection problem: a comparative study
topic QA75 Electronic computers. Computer science
url http://eprints.um.edu.my/19310/
http://dx.doi.org/10.1016/j.dss.2015.07.002
url_provider http://eprints.um.edu.my/