phat 22(3): 5

Research Article

Evaluation Model of Telemedicine Service Quality Based on Machine Sensing Vision

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  • @ARTICLE{10.4108/eetpht.v8i3.669,
        author={Yingdong Cao and Hui Li and Zeqi Xie and Zhenti Cui and Loknath Sai Ambati},
        title={Evaluation Model of Telemedicine Service Quality Based on Machine Sensing Vision},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        volume={8},
        number={3},
        publisher={EAI},
        journal_a={PHAT},
        year={2022},
        month={8},
        keywords={Machine sensing vision technology, Language information assessment, Evaluation index system, Subjective and objective combination weighting method, Telemedicine service quality assessment},
        doi={10.4108/eetpht.v8i3.669}
    }
    
  • Yingdong Cao
    Hui Li
    Zeqi Xie
    Zhenti Cui
    Loknath Sai Ambati
    Year: 2022
    Evaluation Model of Telemedicine Service Quality Based on Machine Sensing Vision
    PHAT
    EAI
    DOI: 10.4108/eetpht.v8i3.669
Yingdong Cao1,*, Hui Li1, Zeqi Xie1, Zhenti Cui1, Loknath Sai Ambati2
  • 1: Sias University
  • 2: Indiana University
*Contact email: caoyingdong638@163.com

Abstract

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.