Ranking framework in evaluating mobile patient monitoring systems and its architecture components based on bestworst method and alsekriterijumska optimizacija i kompromisno resenje methods

Ranking framework in evaluating mobile patient monitoring systems and its architecture components based on bestworst method and alsekriterijumska optimizacija i kompromisno resenje methods

The purpose of this research was to develop a ranking framework in evaluating mobile patient monitoring systems (MPMSs) and its architecture components based on multi-criteria analysis. Ranking and selecting the best MPMSs in the telemedicine environment is a challenging task due to four issues, nam...

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Main Author: Almahdi Esam Motashar Aday
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Language:eng
Published: 2019
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Almahdi Esam Motashar Aday
Ranking framework in evaluating mobile patient monitoring systems and its architecture components based on bestworst method and alsekriterijumska optimizacija i kompromisno resenje methods
description The purpose of this research was to develop a ranking framework in evaluating mobile patient monitoring systems (MPMSs) and its architecture components based on multi-criteria analysis. Ranking and selecting the best MPMSs in the telemedicine environment is a challenging task due to four issues, namely, multiple evaluation criteria, importance of criteria, data variation and unmeasurable values. The decision matrix was adopted from the most relevant studies and is found to be applicable, which is constructed on the basis of intersection between evaluation criteria and systems list. The unmeasurable values (binominal values and multiple values) of the MPMS evaluation criteria in the adopted decision matrix are re-presenting based on four experts opinion by using the BestWorst Method (BWM) to be mathematically applicable. The importance of the evaluation criteria based on the architecture components of the MPMS is determined by using the BWM with consistency value less than 0.1. The VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is utilised to rank the MPMS according to the determined importance of the evaluation criteria and the adopted decision matrix. According to VIKOR, the set of alternatives are ranked by sorting the value Q in ascending order. The lowest value indicates the optimal performance. The obtained results are: the internal and external VIKOR group decision making are approximately the same, the best MPMS after ranking was YaleNASA and the worst MPMS was NTU. For the objective validation, the mean standard deviation in the first group of both the internal and external aggregation is 0.028, lower than the other two groups; this process indicates that the internal and external ranking results are 100% identical (due to alternatives with the minimum value are considered the optimal one according to the steps of the VIKOR). As conclusion, The BWM is suitable on quantifying the MPMS evaluation criteria preferences based on the architecture components of the MPMS. VIKOR is suitable in solving the MPMS ranking problem. The proposed framework helps the medical organization select the suitable MPMS, facilitate the healthcare professionals work and remote health monitoring to save patients life.
format thesis
qualification_name
qualification_level Master's degree
author Almahdi Esam Motashar Aday
author_facet Almahdi Esam Motashar Aday
author_sort Almahdi Esam Motashar Aday
title Ranking framework in evaluating mobile patient monitoring systems and its architecture components based on bestworst method and alsekriterijumska optimizacija i kompromisno resenje methods
title_short Ranking framework in evaluating mobile patient monitoring systems and its architecture components based on bestworst method and alsekriterijumska optimizacija i kompromisno resenje methods
title_full Ranking framework in evaluating mobile patient monitoring systems and its architecture components based on bestworst method and alsekriterijumska optimizacija i kompromisno resenje methods
title_fullStr Ranking framework in evaluating mobile patient monitoring systems and its architecture components based on bestworst method and alsekriterijumska optimizacija i kompromisno resenje methods
title_full_unstemmed Ranking framework in evaluating mobile patient monitoring systems and its architecture components based on bestworst method and alsekriterijumska optimizacija i kompromisno resenje methods
title_sort ranking framework in evaluating mobile patient monitoring systems and its architecture components based on bestworst method and alsekriterijumska optimizacija i kompromisno resenje methods
granting_institution Universiti Pendidikan Sultan Idris
granting_department Fakulti Seni, Komputeran dan Industri Kreatif
publishDate 2019
url https://ir.upsi.edu.my/detailsg.php?det=6641
_version_ 1747833283237904384
spelling oai:ir.upsi.edu.my:66412022-01-31 Ranking framework in evaluating mobile patient monitoring systems and its architecture components based on bestworst method and alsekriterijumska optimizacija i kompromisno resenje methods 2019 Almahdi Esam Motashar Aday The purpose of this research was to develop a ranking framework in evaluating mobile patient monitoring systems (MPMSs) and its architecture components based on multi-criteria analysis. Ranking and selecting the best MPMSs in the telemedicine environment is a challenging task due to four issues, namely, multiple evaluation criteria, importance of criteria, data variation and unmeasurable values. The decision matrix was adopted from the most relevant studies and is found to be applicable, which is constructed on the basis of intersection between evaluation criteria and systems list. The unmeasurable values (binominal values and multiple values) of the MPMS evaluation criteria in the adopted decision matrix are re-presenting based on four experts opinion by using the BestWorst Method (BWM) to be mathematically applicable. The importance of the evaluation criteria based on the architecture components of the MPMS is determined by using the BWM with consistency value less than 0.1. The VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is utilised to rank the MPMS according to the determined importance of the evaluation criteria and the adopted decision matrix. According to VIKOR, the set of alternatives are ranked by sorting the value Q in ascending order. The lowest value indicates the optimal performance. The obtained results are: the internal and external VIKOR group decision making are approximately the same, the best MPMS after ranking was YaleNASA and the worst MPMS was NTU. For the objective validation, the mean standard deviation in the first group of both the internal and external aggregation is 0.028, lower than the other two groups; this process indicates that the internal and external ranking results are 100% identical (due to alternatives with the minimum value are considered the optimal one according to the steps of the VIKOR). As conclusion, The BWM is suitable on quantifying the MPMS evaluation criteria preferences based on the architecture components of the MPMS. VIKOR is suitable in solving the MPMS ranking problem. The proposed framework helps the medical organization select the suitable MPMS, facilitate the healthcare professionals work and remote health monitoring to save patients life. 2019 thesis https://ir.upsi.edu.my/detailsg.php?det=6641 https://ir.upsi.edu.my/detailsg.php?det=6641 text eng closedAccess Masters Universiti Pendidikan Sultan Idris Fakulti Seni, Komputeran dan Industri Kreatif Abdullateef, Belal Najeh, Elias, Nur Fazidah, Mohamed, Hazura, Zaidan, AA, & Zaidan,BB. (2016). An evaluation and selection problems of OSS-LMS packages.SpringerPlus, 5(1), 248.Abdulnabi, Mohamed, Al-Haiqi, Ahmed, Kiah, Miss Laiha Mat, Zaidan, AA, Zaidan, BB, & Hussain,Muzammil. (2017). A distributed framework for health information exchange using smartphonetechnologies. Journal of biomedical informatics, 69, 230-250.Aboutorab, Hamed, Saberi, Morteza, Asadabadi, Mehdi Rajabi, Hussain, Omar, & Chang, Elizabeth.(2018). 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