Evaluation Model of Telemedicine Service Quality Based on Machine Sensing Vision

被引：0
作者：
Cao Y. [1 ]
Li H. [1 ]
Zeqi X. [2 ]
Cui Z. [1 ]
Ambati L.S. [3 ]
机构：
[1] Sias University, School of Nursing, Henan, Xinzheng
[2] Sias University, School of Electronics and Information Engineering, Henan, Xinzheng
[3] Indiana University, Kokomo, IN
来源：
EAI Endorsed Transactions on Pervasive Health and Technology | 2022年 / 8卷 / 03期
关键词：
Evaluation index system; Machine sensing vision technology; Language information assessment; Subjective and objective combination weighting method; Telemedicine service quality assessment;
D O I：
10.4108/EETPHT.V8I3.669
中图分类号：
学科分类号：
摘要：
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. © 2022 Loknath Sai Ambati et al.
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