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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| Format: | thesis |
| Language: | eng |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://ir.upsi.edu.my/detailsg.php?det=6641 |
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| Summary: | 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. |
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