[Digital Intelligence Drives the High-Quality Development of the Healthcare Service System: Development Mechanisms and Implementation Pathway].

Journal: Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
PMID:

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.

Authors

  • Jie Pan
  • Tianfeng Zhang
    / ( 610041) West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
  • Yumeng Zhang
    Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China.
  • Xiaojun Lin
    / ( 610041) West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
  • Weiwei Li
    Research Centre of Engineering and Technology for Computerized Dentistry, Ministry of Health, Peking University School and Hospital of Stomatology, Beijing 100081, PR China. Electronic address: liww@bjmu.edu.cn.
  • Chao Song
    Medical School of Chinese PLA, 100853 Beijing, China.
  • Hongyu Lai
    / ( 610041) West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
  • Xiang Yan
    Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Xiuli Wang
    Moscow Academy of Art, Weinan Teachers College, Weinan 714000, Shaanxi, China.
  • Xing Qu
    Institute of Hospital Management, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Zijian Deng
    / ( 610041) West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
  • Xin Chen
    University of Nottingham, Nottingham, United Kingdom.
  • Liming Quan
    / ( 610041) West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
  • Qijun Zhao
    College of Computer Science, Sichuan University, Chengdu, China.
  • Yucheng Dong
  • Wei Zhang
    The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Kui Wu
    BGI-Shenzhen, Shenzhen 518083, China.
  • Xuefeng Tang
    / ( 610041) West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.