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web_vol47 4.pdf - International Hospital Federation

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Policy: Japan<br />

Figure 2: The disaster medical support system<br />

Supporting<br />

area<br />

Supporting hospitals<br />

Disaster recovery system<br />

Collaboration of Government, hospital organizations and corporations<br />

Matching<br />

JHA<br />

(Japan institute of<br />

health care architecture)<br />

Extent of damage<br />

Reconstruction time<br />

Reconstruction cost<br />

Affected<br />

area<br />

Affected hospitals<br />

Supporting<br />

area<br />

Supporting hospitals<br />

Source: Japan <strong>Hospital</strong> Association (Sakai 2011)<br />

Matching<br />

Supporting<br />

area<br />

Supporting hospitals<br />

found it very difficult to obtain accurate and sufficient data and to<br />

share this among the affected and the non-affected areas. We also<br />

tried to obtain earthquake and tsunami information. This<br />

information was then merged into the Geographic Information<br />

System (GIS) so everyone could visualize the amount, nature and<br />

degree of the damage. We included the basic hospital information<br />

from more than 6,200 hospitals which had already been<br />

accumulated. We also included information on therapeutic and<br />

diagnostic equipment at each hospital. Anyone can get access to<br />

the information through the JHA <strong>web</strong>site.<br />

Then we collected data from the affected areas regarding their<br />

requirements for manpower, materials, money and systems. We<br />

also obtained information from the non-affected areas on their<br />

capabilities in these areas. Then we put all this information<br />

together on GIS so anyone could access the information using<br />

Google Maps or Google Earth.<br />

It was possible to estimate the damage from the earthquake<br />

and tsunami, and then to show the geographic distribution of the<br />

damaged hospitals. We were hoping to use the information for<br />

transportation and evacuation plans. Actually it was very difficult to<br />

do so in the acute stage. We estimated that three hospitals in<br />

Iwate were completely destroyed by using the seismic polygon<br />

and without going to the affected areas themselves. Eventually we<br />

found out that four instead of three hospitals were completely<br />

destroyed. One hospital which we could not identify had been<br />

constructed more than 50 years ago and they did not have any<br />

Matching<br />

anti-earthquake construction<br />

devices.<br />

To estimate the tsunami damage,<br />

we utilized aerial photographs. We<br />

compared the photographs taken<br />

before with those taken after the<br />

(Support system) earthquake. By comparing these<br />

GIS analysis<br />

pictures, we were able to identify<br />

• Medical resources<br />

those coastal areas destroyed<br />

• Damage estimation<br />

completely by the tsunami. So<br />

without going to the area – this<br />

(JHA)<br />

was very difficult because of<br />

Disaster collection transportation damage – we were<br />

and analysis<br />

able to assess exactly the nature<br />

• Market analyser<br />

• <strong>Hospital</strong> database<br />

and degree of the damage<br />

• Medical supply database<br />

• Tsunami and earthquake data encountered in the affected areas.<br />

We deployed a fair amount of<br />

manpower and materials into the<br />

(Data collection and analysis) affected areas in the acute stage<br />

with a relatively good response.<br />

However, we also faced certain<br />

Affected hospitals difficulties. These included<br />

• Google earth on JHA HP<br />

• Geographical distribution difficulty in obtaining and sharing<br />

• Extent of damage on WEB<br />

accurate and timely information;<br />

difficulty identifying who is in<br />

charge or whom we should<br />

contact before making any<br />

decisions. Many government and<br />

non-government organizations<br />

were involved and we found out<br />

that there was a lack of sufficient<br />

communication and cooperation<br />

among them.<br />

In the long-term support phase we decided to establish a new<br />

medical support system based on our experience. We are trying<br />

to organize an all-Japan support system asking many other<br />

organizations to join us. The main aim of this system is to get all<br />

the necessary information, then update and share the information<br />

efficiently. We divided Japan into eight to nine districts and have<br />

district centers which can function as a control point whenever<br />

necessary. We do not know which part of Japan will face the next<br />

disaster. So we should prepare for any part of Japan to function<br />

as the control point in case of a disaster. By integrating information<br />

from the affected and non-affected areas, we can make efficient<br />

logistic plans. The key concept would be information-loaded GIS.<br />

We can obtain virtual images of the supporting schema.<br />

This system can function not only in a disaster but also in peace<br />

time. Even then we have a poor distribution of medical resources.<br />

This system can help ease these uneven conditions in normal<br />

times as well.<br />

As for the nuclear incident, the Japanese Association for Acute<br />

Medicine (JAAM) took a key role in forming the Fukushima Nuclear<br />

Power Plant Accident Working Groups to help people. They<br />

consisted of an off-site center functioning as a regional<br />

headquarters based at Fukushima Medical University, and J-<br />

Village Medical Teams near the Fukushima I National Power Plant<br />

to help people there on a daily basis. They also received full<br />

support from National Institute for Radiological Science. Another<br />

organization involved in the nuclear disaster was the Fukushima<br />

(Data collection and analysis)<br />

Supporting hospitals<br />

• Google earth on JHA HP<br />

• Geographical distribution<br />

• Extent of damage on WEB<br />

• Regional support data<br />

World <strong>Hospital</strong>s and Health Services Vol. 47 No. 4 11

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