Research on the optimization of"internet+medical care and health"service model in Yinchuan from the perspective of supply and demand matching
10.3969/j.issn.1671-332X.2024.12.005
- VernacularTitle:供需匹配视角下银川市"互联网+医养健康"服务模式优化研究
- Author:
Yi DAI
1
;
Xia CHENG
1
;
Yanjie ZHANG
1
Author Information
1. 宁夏回族自治区人民医院 宁夏银川 750002
- Publication Type:Journal Article
- Keywords:
Supply and demand matching;
"Internet+medical care and health";
Model optimization
- From:
Modern Hospital
2024;24(12):1821-1827
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the current situation of supply and demand matching of"Internet+Medical Care and Health"services in Yinchuan,accurately identify demand and allocate supply,so as to provide suggestions for optimizing and the management system of"Internet+Medical Care and Health"and improving the matching of supply and demand.Methods The questionnaire was designed from four elements:medical and health services,intelligent home services,psychological care and other services composed of big data use,rehabilitation and entertainment,online community.The questionnaires were distributed in Yinchuan medical institutions,elderly care institutions and communities.Building a supply and demand matching model to an-alyze the matching degree of"Internet+Medical Care and Health"services.Results There is a mismatch between supply and demand of"Internet+Medical Care and Health"services in Yinchuan,and the total supply is insufficient.The matching degree of supply and demand showed medical health service>smart home service>other services(big data use,rehabilitation entertain-ment,online community)>psychological care.Conclusion Measures should start with top-level design,demand identification and aging-appropriate transformation,with the combination of multiple forces to transform the actual demand into products design,system introduction,product research and information interaction development,so as to truly realize more diversified and high-quality"Internet+Medical Care and Health"service supply.