Research Article
Analysis of the Influencing Factors of Smart Medical Industry in the Context of Big Data
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328672, author={Hongjun Huang and Jiawen Liu and Ruiyang Liu and Zeba Wu and Siyun Chen}, title={Analysis of the Influencing Factors of Smart Medical Industry in the Context of Big Data}, proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China}, publisher={EAI}, proceedings_a={BDEIM}, year={2023}, month={6}, keywords={smart medical care; healthcare informatization; multivariate logistic model; big data}, doi={10.4108/eai.2-12-2022.2328672} }- Hongjun Huang
Jiawen Liu
Ruiyang Liu
Zeba Wu
Siyun Chen
Year: 2023
Analysis of the Influencing Factors of Smart Medical Industry in the Context of Big Data
BDEIM
EAI
DOI: 10.4108/eai.2-12-2022.2328672
Abstract
Over the past decades of medical reform, "Internet+" technology has continued to penetrate into daily life, and smart medical care has emerged. Smart medical care can further promote the development of Internet medical care in China, improve the efficiency of treatment, and effectively solve the problem of "difficult and expensive to see a doctor". This paper ex-plores the factors influencing the development of smart medical care in China from the per-spective of users through questionnaire surveys and data analysis. Based on the survey da-ta, logistic regression analysis was used to investigate three aspects: the influence of epi-demic, personal characteristics, and the economic and medical level. It was found that users have certain knowledge about smart medical care and its further development is of great concern; there are significant differences between age, occupation, and health condition and whether they use smart medical care regularly; there are significant effects of smart patents and regionalization of Internet hospitals on the market size of smart medical care in each province.