Evaluation Model of Telemedicine Service Quality Based on Machine Sensing Vision
DOI:
https://doi.org/10.4108/eetpht.v8i3.669Keywords:
Machine sensing vision technology, Language information assessment, Evaluation index system, Subjective and objective combination weighting method, Telemedicine service quality assessmentAbstract
INTRODUCTION: At present, the common telemedicine service quality evaluation methods can not obtain the key evaluation indicators, which leads to the low accuracy and low user satisfaction.
OBJECTIVES: This paper constructs a telemedicine service quality evaluation model based on machine vision technology.
METHODS: Machine vision technology is used to obtain telemedicine service information, preliminarily select service quality assessment indicators, complete the selection of indicators, build a telemedicine service quality assessment indicator system, adopt subjective and objective combination method to calculate the weight of service quality assessment indicators, and combine matter element analysis method to build a telemedicine service quality assessment model.
RESULTS: The experimental results show that the Cronhach a is higher than 0.7, the Barthel index is higher than 90, and the satisfaction of many users is more than 90%.
CONCLUSION: The proposed method solves the problems existing in the current method and lays a foundation for the development of telemedicine service technology.
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