Multi-criteria decision-making analysis for hospital selection in the telemedicine environment
In this study, a new module for telemedicine architecture, namely Tier 4, was developedto provide intelligent data and services management in the telemedicine environment. Fora suitable hospital to provide remote healthcare services, a new hospital selectionframework based on multi-criteria decision...
Saved in:
| Main Author: | |
|---|---|
| Format: | thesis |
| Language: | eng |
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://ir.upsi.edu.my/detailsg.php?det=6317 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | In this study, a new module for telemedicine architecture, namely Tier 4, was developedto provide intelligent data and services management in the telemedicine environment. Fora suitable hospital to provide remote healthcare services, a new hospital selectionframework based on multi-criteria decision making (MCDM) of Tier 4 was developed forchronic heart disease patients who lived in remote places. An experiment was conductedon the basis of three stages. Firstly, health data, such as electrocardiogram, oxygensaturation sensor, blood pressure monitor, and non-sensory measurement, were collectedfrom 500 patients with different symptoms. The number of healthcare servicesrepresenting the hospital status was collected from 12 hospitals located in Baghdad City.A decision matrix based on the crossover of ?multi-healthcare services and ?hospital listof Tier 4 was also constructed. Secondly, the hospitals were then ranked using MCDMtechniques, namely the integrated Analytic Hierarchy Process (AHP) andVlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Thirdly, means andstandard deviations were computed to ensure hospital ranking could be systematicallyperformed to facilitate objective validation. The results showed that (1) the integration ofAHP and VIKOR would able to effectively solve hospital selection problems. (2) In theobjective validation, significant differences in scores between groups were observed,indicating that the ranking results were identical. (3) In the evaluation, the resultsrevealed that the proposed framework was more effective by 56.25% than the benchmarkframework. In conclusion, hospitals with multiple-healthcare services received thehighest ranks compared to those of the hospitals with fewer healthcare services. Theimplications of this study provide several benefits to medical organizations by balancingthe healthcare services loading among hospitals, assist medical teams by performing atimely and accurate treatment for their patients, and provide healthcare services forpatients living in unserved or underserved areas. |
|---|