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Autonomous And Remotely Controlled Robotic Systems Of Medical Evacuation Under Transition To A Digital Economy: Developments Of The Lomonosov Moscow State University And The All-Russian Center Of Disaster Medicine "Zaschita"

Author

Listed:
  • L. Sokolova

    (Japanese Association on Trade with Russia and New Independent States, Russia)

  • Viktor A. Sadovnichy

    (Lomonosov Moscow State University, Honorary Doctor of Northern (Arctic) Federal University named after M.V. Lomonosov , Arkhangelsk, Russia)

  • N. Baranova

    (All-Russian Center of Disaster Medicine "Zaschita"., Russia)

  • S. Goncharov

    (All-Russian Center of Disaster Medicine "Zaschita"., Russia)

  • V. Staroverov

    (Lomonosov Moscow State University, Russia)

  • R. Solodova

    (Lomonosov Moscow State University, Russia)

  • M. Sokolov

    (Lomonosov Moscow State University, Russia)

Abstract

Medical evacuation of severelly ill or injured patients is a complicated and expensive problem. Transportation is performed by highly-qualified medical crew and on special vehicles (automobiles, on-land and water transport). Modern digital models enable significantly optimize patient transportation by creating new approaches. Robotization and artificial intelligence within transportation provides opportunity to improve the outcomes with significant reduction of its cost. lemedicine

Suggested Citation

  • L. Sokolova & Viktor A. Sadovnichy & N. Baranova & S. Goncharov & V. Staroverov & R. Solodova & M. Sokolov, 2018. "Autonomous And Remotely Controlled Robotic Systems Of Medical Evacuation Under Transition To A Digital Economy: Developments Of The Lomonosov Moscow State University And The All-Russian Center Of Disa," Population and Economics, ARPHA Platform, vol. 2(2), pages 156-174, July.
    • Handle: RePEc:arh:jpopec:v:2:y:2018:i:2:p:156-174
    DOI: 10.3897/popecon.2.e36051
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