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http://dspace2020.uniten.edu.my:8080/handle/123456789/8693Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zaidan, A.A. | |
| dc.contributor.author | Zaidan, B.B. | |
| dc.contributor.author | Al-Haiqi, A. | |
| dc.contributor.author | Kiah, M.L.M. | |
| dc.contributor.author | Hussain, M. | |
| dc.contributor.author | Abdulnabi, M. | |
| dc.date.accessioned | 2018-02-20T03:50:37Z | - |
| dc.date.available | 2018-02-20T03:50:37Z | - |
| dc.date.issued | 2015 | |
| dc.identifier.uri | http://dspace.uniten.edu.my/jspui/handle/123456789/8693 | - |
| dc.description.abstract | Evaluating and selecting software packages that meet the requirements of an organization are difficult aspects of software engineering process. Selecting the wrong open-source EMR software package can be costly and may adversely affect business processes and functioning of the organization. This study aims to evaluate and select open-source EMR software packages based on multi-criteria decision-making. A hands-on study was performed and a set of open-source EMR software packages were implemented locally on separate virtual machines to examine the systems more closely. Several measures as evaluation basis were specified, and the systems were selected based a set of metric outcomes using Integrated Analytic Hierarchy Process (AHP) and TOPSIS. The experimental results showed that GNUmed and OpenEMR software can provide better basis on ranking score records than other open-source EMR software packages. © 2014 Elsevier Inc. | |
| dc.title | Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS | |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| Appears in Collections: | COE Scholarly Publication | |
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