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A Study on Medical Support System in Multiple Hospitals for a Large Tsunami Disaster

Author

Listed:
  • Jun Sasaki

    (Iwate Prefectural University, Japan)

  • Yuko Murayama

    (Iwate Prefectural University, Japan)

Abstract

In 2011, the Great East Japan Earthquake and Tsunami destroyed three prefectural hospitals of Iwate Prefecture in Japan. Iwate Prefecture has 25 public hospitals in the area of Iwate prefecture. The authors interviewed two medical doctors. One is a doctor in a seacoast-area hospital and another is a doctor of an inland-area hospital. The doctor in the inland-area hospital has been helped by the medical service in a coastal area hospital in the large disaster. And the authors also interviewed an officer who works in Iwate Medical Central Office. He accumulated the hospital information and contributed to arrange much support in the disaster. Based on the interviews and obtained several documents, this paper describes some issues and problems on the current medical support system in the emergency and long-term medical service. Then, a new idea of Medical Support System is proposed for applying a large-scale disaster. This concept obtained from the precious experience can be adopted in other areas to prevent from medical and healthcare damages in the future large tsunami disaster.

Suggested Citation

  • Jun Sasaki & Yuko Murayama, 2016. "A Study on Medical Support System in Multiple Hospitals for a Large Tsunami Disaster," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 409-417, December.
  • Handle: RePEc:nwe:eajour:y:2016:i:4:p:409-417
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    More about this item

    Keywords

    Disaster information; emergency management; medical information; network system; information system;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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