Selected article for: "current study and information technology"

Author: Guannna, G.
Title: British community health care system based on big data and artificial intelligence
  • Cord-id: mrt394lp
  • Document date: 2020_1_1
  • ID: mrt394lp
    Snippet: In order to overcome novel coronavirus pneumonia's vulnerability to public service and health system, and solve the shortage of medical resources caused by the explosive growth of patients, a novel British community health care system based on big data and artificial intelligence is proposed. Based on the characteristics of national health system and the theory of service design, the paper aims to build a national health system which is in line with user satisfaction on the basis of traditional
    Document: In order to overcome novel coronavirus pneumonia's vulnerability to public service and health system, and solve the shortage of medical resources caused by the explosive growth of patients, a novel British community health care system based on big data and artificial intelligence is proposed. Based on the characteristics of national health system and the theory of service design, the paper aims to build a national health system which is in line with user satisfaction on the basis of traditional national health system. Based on this, novel coronavirus pneumonia is collected by the big data technology, and the residents' living conditions and demands are collected. Combined with AI technology, the psychological counseling service platform and the medical consultation service platform are constructed. Through big data technology and artificial intelligence technology, we can comprehensively collect the national health information and realize the optimal allocation of medical resources. The results show that novel coronavirus pneumonia epidemic characteristics and the vulnerability of current national health system are the focus of the study. Combined with big data and artificial intelligence, the system can indeed provide services for the medical and health field and optimize the allocation of medical resources. © 2020 IEEE.

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