{"title":"[Digital Intelligence Drives the High-Quality Development of the Healthcare Service System: Development Mechanisms and Implementation Pathway].","authors":"Jie Pan, Tianfeng Zhang, Yumeng Zhang, Xiaojun Lin, Weiwei Li, Chao Song, Hongyu Lai, Xiang Yan, Xiuli Wang, Xing Qu, Zijian Deng, Xin Chen, Liming Quan, Qijun Zhao, Yucheng Dong, Wei Zhang, Kui Wu, Xuefeng Tang","doi":"10.12182/20240960401","DOIUrl":null,"url":null,"abstract":"<p><p>The rapid development of digital intelligence technologies is providing a powerful boost to the high-quality development of the healthcare system. Considering the current state of our healthcare services and guided by General Secretary Xi Jinping's insights on new quality productive forces and the directives from Third Plenary Session of Communist Party of China's 20th Central Committee, the high-quality development of the healthcare service system should focus on digital intelligence technologies such as cloud computing, big data, privacy computing, blockchain, Internet of Things (IoT), mobile computing, and AI. The key measures should include the optimization of production factors, services, and governance. Emphasis should be placed on enhancing the efficient and intensive development of the development model, ensuring the high-quality and continuous integration of the supply model, and transitioning to scientific and modern management methods. Herein, we analyzed the \"factor optimization-service optimization-governance optimization\" development mechanism driven by digital intelligence and proposed corresponding implementation pathways, intending to provide references for establishing a high-quality and efficient healthcare service system with Chinese characteristics.</p>","PeriodicalId":39321,"journal":{"name":"四川大学学报(医学版)","volume":"55 5","pages":"1055-1062"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11536252/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"四川大学学报(医学版)","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.12182/20240960401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
The rapid development of digital intelligence technologies is providing a powerful boost to the high-quality development of the healthcare system. Considering the current state of our healthcare services and guided by General Secretary Xi Jinping's insights on new quality productive forces and the directives from Third Plenary Session of Communist Party of China's 20th Central Committee, the high-quality development of the healthcare service system should focus on digital intelligence technologies such as cloud computing, big data, privacy computing, blockchain, Internet of Things (IoT), mobile computing, and AI. The key measures should include the optimization of production factors, services, and governance. Emphasis should be placed on enhancing the efficient and intensive development of the development model, ensuring the high-quality and continuous integration of the supply model, and transitioning to scientific and modern management methods. Herein, we analyzed the "factor optimization-service optimization-governance optimization" development mechanism driven by digital intelligence and proposed corresponding implementation pathways, intending to provide references for establishing a high-quality and efficient healthcare service system with Chinese characteristics.
四川大学学报(医学版)Biochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
0.70
自引率
0.00%
发文量
8695
期刊介绍:
"Journal of Sichuan University (Medical Edition)" is a comprehensive medical academic journal sponsored by Sichuan University, a higher education institution directly under the Ministry of Education of the People's Republic of China. It was founded in 1959 and was originally named "Journal of Sichuan Medical College". In 1986, it was renamed "Journal of West China University of Medical Sciences". In 2003, it was renamed "Journal of Sichuan University (Medical Edition)" (bimonthly).
"Journal of Sichuan University (Medical Edition)" is a Chinese core journal and a Chinese authoritative academic journal (RCCSE). It is included in the retrieval systems such as China Science and Technology Papers and Citation Database (CSTPCD), China Science Citation Database (CSCD) (core version), Peking University Library's "Overview of Chinese Core Journals", the U.S. "Index Medica" (IM/Medline), the U.S. "PubMed Central" (PMC), the U.S. "Biological Abstracts" (BA), the U.S. "Chemical Abstracts" (CA), the U.S. EBSCO, the Netherlands "Abstracts and Citation Database" (Scopus), the Japan Science and Technology Agency Database (JST), the Russian "Abstract Magazine", the Chinese Biomedical Literature CD-ROM Database (CBMdisc), the Chinese Biomedical Periodical Literature Database (CMCC), the China Academic Journal Network Full-text Database (CNKI), the Chinese Academic Journal (CD-ROM Edition), and the Wanfang Data-Digital Journal Group.