Fault-tolerant mhealth framework in telemedicine environment for chronic heart disease patients
This research aimed to improve the fault tolerance of healthcare services provided forChronic Heart Disease (CHD) patients living in remote areas. A new fault-tolerantmHealth framework was proposed to solve existing problems in healthcare services dueto frequent failures in the telemedicine architec...
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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=6353 |
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| Summary: | This research aimed to improve the fault tolerance of healthcare services provided forChronic Heart Disease (CHD) patients living in remote areas. A new fault-tolerantmHealth framework was proposed to solve existing problems in healthcare services dueto frequent failures in the telemedicine architecture. This study used an experimentalresearch design that was carried out based on two stages. In the first stage, the researcherproposed a new algorithm known as Three-level Localization Triage (3LLT) to excludethe triage process from a medical center (Tier 3) and to overcome alarm failures relatedto Tier 1. In the second stage, the proposed framework was used to assist the decisionmaker to make the appropriate hospital selection based on a Multi-Criteria DecisionMaking technique, namely the Analytic Hierarchy Process (AHP). Two datasets wereused comprising a dataset of 572 CHD patients and a dataset of hospitals healthcareservices, which were used in the triage stage and in the hospital selection stage,respectively, based on two scenarios. The first scenario involved real high-level servicesof 12 hospitals located in Baghdad, Iraq, and the second scenario was based on low-levelsimulated services of 12 hospitals located in Kuala Lumpur, Malaysia. The resultsshowed that the AHP technique was highly effective in solving the failures of healthcareservices and the problems related to hospital selection. Moreover, the results showedsignificant differences in the groups scores, indicating that the ranking results wereidentical for the three groups. Clearly, such empirical results suggest that the ranking ofhospitals cannot be determined in a specific situation with many combined factors thatmay have a significant impact on the priority setting at the hospital level. For thevalidation of the framework, the results showed that the ranking results were perfectlyidentical. The implication of this study is that medical organizations can use the proposedfault-tolerant framework to assign patients to appropriate hospitals that can provide themwith prompt, effective healthcare services. |
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