STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Research on Intelligent Elderly Care Path Based on Data Information
DOI: https://doi.org/10.62517/jmhs.202305305
Author(s)
Shuang Liang1,2,#, Xiaoyan Xu1,2,#, Dingjie Zhou1,2, Zhixin Jiang1,2, Yongmei Zhuang1,2, Qin He3, Yuehua Yang1,2,*
Affiliation(s)
1Jiangsu Health Development Research Center, Nanjing, Jiangsu China. 2National Health and Family Planning Commission Contraceptives Adverse Reaction Surveillance Center, Nanjing, Jiangsu, China. 3Nanjing Positive Health Eldercare Service Center, Nanjing, Jiangsu, China *Corresponding Author.
Abstract
Our country is moving into a deeper population ageing. With the deepening of our aging population and the development of modern smart technologies, the Internet has reshaped the way older people interact and live, it has become an important engine to optimize the development and innovation of the old-age service model. Based on the analysis of the existing problems in the current intelligent pension model, this paper takes the Community Intelligent project of Nanjing Positive Health Eldercare Service Center as an example to show how to realize the intellectualization and informationization of endowment service in community. Smart pension information construction path includes establishing a community elderly personal information database, realization of intelligent processing of multichannel massive data, and establishing real-time monitoring with the aid of artificial intelligence. We should make use of modern communication technology and information technology to innovate the mode of old-age service and promote the organic integration of internet and old age service industry, so as to realize the digitalization, informationization and technicalization of old-age service.
Keywords
Intelligent Elderly Care; Data Informatization; Intelligent Model; Information Database
References
[1]Chen Yanmei, Liu Zifeng, Li Xiande, etc.. Chinese population ageing trends and projections for the elderly population from 2015 to 2050. Chinese Journal of Social Medicine, 2018, 35(5): 480-483. [2]The three departments jointly issued the Action Plan for the development of intelligent and healthy industry for the aged (2021-2025). Information Technology and standardization, 2021(11) : 4. [3]Ye Jin Sien, Ma Hui. Research on the innovative service model of“Internet + Intelligent Endowment”. Health Vocational Education, 2023(05): 167-170. [4]Sui minister, Peng Qingchao. “Internet + home care for the aged”: the service model of smart home care for the aged. Journal of Xinjiang Normal University, 2016, 37(5) : 128-135. [5] Luo Juan and Meng Lingqi. Research on Adoption Behavior and Influencing Factors of Intelligent Pension Services for Elderly in Shanghai. Frontiers in Genetics, 2022, 13: 905887-905887. [6] Wang Sainan and Liu Tao and Wei Wei. Design of Intelligent Pension Platform Based on Internet of Things. Journal of Physics: Conference Series, 2021, 1744(4): 042240-. [7] Wearables and their applications for the rehabilitation of elderly people. Bravo Valeria P.;Mu?oz Javier A.. Medical & Biological Engineering & Computing. 2022(5): 1239-1252. [8] Zuo Meiyun, Yuan Xinyi, Zhou Jilei. Bridging the digital divide to build a new pattern of intelligent old-age support. Chinese information sector, 2021(06): 70-73. [9] Zhu Junjie, Kimiaki, Wei Yankai. Study on the intelligent endowment system based on“Internet +”. Smart city, 2022, 8(08): 51-53. [10]Xia Lirong, Chen Jiaxuan, Ye Chunxia, Lin Zouyan, Chen Xinji. Research and discussion on Internet + intelligent endowment industry. Chinese business, 2022(Z 1): 106-109. [11] Ruimin Zhang. A study on the model of Taikang's intelligent support for the aged. Beijing University of Chemical Technology, 2022:14-15. [12] China Netcom. CNNIC released the 41st Statistical Report on China's Internet development. HTTP: www.cac.gov.cn 2018-0131c. HTM. [13]Ji Chunyan. The practical dilemma and optimization path of home-based intelligent endowment. Mount Tai series, 2022(07): 182-190. [14]Chen Xi. Study on the problems and countermeasures of intelligent endowment in Xuzhou. China University of Mining and Technology, 2021:34-35.
Copyright @ 2020-2035 STEMM Institute Press All Rights Reserved