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

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sichuan da xue xue bao. Journal of Sichuan University. Yi xue ban 2024-09, Vol.55 (5), p.1055
Hauptverfasser: Pan, Jie, Zhang, Tianfeng, Zhang, Yumeng, Lin, Xiaojun, Li, Weiwei, Song, Chao, Lai, Hongyu, Yan, Xiang, Wang, Xiuli, Qu, Xing, Deng, Zijian, Chen, Xin, Quan, Liming, Zhao, Qijun, Dong, Yucheng, Zhang, Wei, Wu, Kui, Tang, Xuefeng
Format: Artikel
Sprache:chi
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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 optimizati
ISSN:1672-173X
DOI:10.12182/20240960401