Impact Analysis of Mobile Medical APPs Based on AHP-TOPSIS: A Case Study of China

被引：0
|
作者：
Li, Xin [1 ]
You, Jianxin [1 ]
Zhao, Wang [1 ]
机构：
[1] Wuhan Univ, Sch Informat Management, Wuhan, Peoples R China
来源：
2020 5TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND ARTIFICIAL INTELLIGENCE (ICMAI 2020) | 2020年
关键词：
mobile medical APPs; AHP-TOPSIS model; Impact Analysis;
D O I：
10.1145/3395260.3395272
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the big data era, advances in informatics have led to new opportunities and challenges in healthcare research and applications. The mobile medical market in the Asia-Pacific region has gradually matured, showing explosive growth in the past three years, especially in China. The purpose of this paper is to evaluate several representative mobile medical APPs using AHP-TOPSIS method. Seven mobile medical APPs are selected, including Chunyu doctor, Good doctor online, Clove doctor, Ping'an doctor, Almond doctor, Healthway doctor and Thumb doctor. The analysis mainly includes four aspects: market share, platform operation, function comparison and user experience. According to the results of AHP-TOPSIS model, the advantages and disadvantages of these mobile medical APPs are analyzed and suggestions for the future development of them are also given in this paper.
引用
收藏
页码：214 / 218
页数：5
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