This repertoire of open source options is of a great value for any future-planner interested in adopting an electronic medical/health record system, whether selecting an existent application or building a new one. Although there is no clear evidence of the superiority of the current open source applications in the healthcare field, the number of available open source applications online is growing and they are gaining greater prominence. (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.īackground: The use of open source software in health informatics is increasingly advocated by authors in the literature. On the contrary, discrepancies among the ranking scores/orders are more noticeable in other software.
(2) The software GNUmed, OpenEMR, OpenMRS, and ZEPRS do not differ in ranking scores/orders of experiments for all MCDM techniques presented. (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. Paired sample t-test is then utilized to measure the correlations among different techniques on ranking scores and orders. 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. 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. This paper presents a comparative study that aims to evaluate and select opensource electronic medical record (OS-EMR) software based on multiple-criteria decision-making (MCDM) techniques. Improper selection of a software package may result in incorrect strategic decisions and subsequent economic loss of organizations. The proposed model is used for selecting the right AS/RS in one of the leading consumer electronics company of Turkey.Various software packages offer a large number of customizable features to meet the specific needs of organizations. These weights are then used in fuzzy TOPSIS to rank three AS/RS alternatives. Eleven criteria are used in fuzzy AHP to calculate the criteria weights. In this study, fuzzy AHP and fuzzy TOPSIS methods are used in a two-step methodology to select the suitable automated storage and retrieval system (AS/RS) so as to satisfy the expectations of the company. Multi-criteria decision making process is required to select the best among the alternatives. System investment decision has a very crucial role in any company aiming for efficient manufacturing. An integrated fuzzy AHP – fuzzy TOPSIS approach for AS/RS selection An integrated fuzzy AHP – fuzzy TOPSIS approach for AS/RS selection
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