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Demand Analysis and Management Suggestion: Sharing Epidemiological Data Among Medical Institutions in Megacities for

Qinyi Cai1, Yiqun Mi1, Zhaowu Chu2

  • 11The Sixth People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, 200233 China.

Journal of Shanghai Jiaotong University (Science)
|April 15, 2020
PubMed

Insights

Shanghai

Area of Science:

  • Public Health
  • Epidemiology
  • Smart City Technology

Background:

  • Epidemiological data is crucial for controlling infectious diseases like COVID-19.
  • Challenges in megacities include patient mobility and data sharing barriers.
  • Medical institutions require robust data for effective epidemic control.

Purpose of the Study:

  • To assess the impact of a multi-departmental dynamic information monitoring platform on epidemic prevention and control in Shanghai.
  • To evaluate the effectiveness of shared epidemiological data in improving medical institutions' response capabilities.

Main Methods:

  • Implementation of Shanghai's "one-net management" platform for dynamic information monitoring.
  • Facilitating secure data sharing between a multi-departmental platform and medical institutions.
  • Analyzing the improvements in epidemic prevention and control capabilities.

Main Results:

  • The "one-net management" platform enhances dynamic information monitoring in Shanghai.
  • Secure data sharing improves the ability of medical institutions to prevent and control epidemics.
  • The system addresses challenges posed by patient mobility and information silos.

Conclusions:

  • Shanghai's "one-net management" platform significantly improves epidemic prevention and control.
  • Secure epidemiological data sharing is key to enhancing medical institutions' response.
  • Smart city initiatives can effectively bolster public health infrastructure.

Keywords:
big data sharingepidemic prevention and controlmedical institutionsmegacities

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