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Research on collaborative recommendation of dynamic medical services based on cloud platforms in the industrial interconnection environment

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  • Jianjia, He
  • Gang, Liu
  • Xiaojun, Tan
  • Tingting, Li

Abstract

With the rise of industrial interconnections, deep cross-border integration between different medical industries has begun. In the context of industrial convergence, the users’ medical business needs also show a trend of diversification and personalization. The phenomenon of multi-service resource crossing and multi-organization information barriers in the traditional medical supply chain lead to a lag in the medical resource recommendation time, which makes medical enterprises face the problem of reducing the efficiency of information resource flow in industrial interconnection businesses. This study thus constructed a collaborative recommendation model of medical services based on a cloud platform by mining the characteristics of dynamic medical service resources and user demand, and used a singular value decomposition algorithm based on time context to solve the model so as to achieve reasonable recommendation of dynamic multi-service resources in the medical supply chain. The results showed that the proposed collaborative recommendation model of dynamic medical business resources based on the cloud platform can effectively achieve medical business recommendations and provide ideas for reducing the operating costs of medical enterprise alliances under the condition of industrial interconnection and improving the efficiency of industrial resource interconnection.

Suggested Citation

  • Jianjia, He & Gang, Liu & Xiaojun, Tan & Tingting, Li, 2021. "Research on collaborative recommendation of dynamic medical services based on cloud platforms in the industrial interconnection environment," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    • Handle: RePEc:eee:tefoso:v:170:y:2021:i:c:s0040162521003279
    DOI: 10.1016/j.techfore.2021.120895
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    References listed on IDEAS

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    1. Chang, Victor, 2021. "An ethical framework for big data and smart cities," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    2. Globocnik, Dietfried & Faullant, Rita & Parastuty, Zulaicha, 2020. "Bridging strategic planning and business model management – A formal control framework to manage business model portfolios and dynamics," European Management Journal, Elsevier, vol. 38(2), pages 231-243.
    3. Victor Chang, 2020. "Presenting Cloud Business Performance for Manufacturing Organizations," Information Systems Frontiers, Springer, vol. 22(1), pages 59-75, February.
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