Emergency Medical Service units should be allocated so that neighborhoods which generate the greatest number of life-threatening emergencies should have the easiest and quickest access to emergency service.
Thus this study is of programmatic concern since the distribution of Emergency´. Medical Service
delivery should conform to geographical patterns of Emergency Medical Service demand.
Bearing this in´ mind this study was carried out to identify Emergency Medicinal Service areas in Seoul. This study covered all but two general hospitals in Seoul.
The data forms included. the following information: Address (Gu, Dong), date of visit, major mode of payment, the result (admission, death or discharge). The total number of emergency patients for I week from Oct. 13th to Oct. 19th, 1982 was 7273, and among them 6, 132 emergency reiterates came from Seoul. According to the main purpose of this study, the numbers of emergency patients to each hospital from each district in Seoul are placed in a simple matrix form; identifying ´the´, various hospitals as j=l, 2 m, and each district as i=1, 2 n.
Then, Eij becomes the number of emergency patients for I week from ith district to the jth hospital_. Using the matrix, the relevance index, or the percentage of total emergency patients from a district to a hospital is calculated.
Algebraically, it is shown as Rij (Rij=Eij/ Eij). Using the same method, the specified relevance=
index (separated by the result, major mode of payment, date of visit) is calculated.
Then the contribution of each district to the hospital service population can be calculated by multiplying the district population by relevance index.
Therefore, the sum of these values becomes the hospital service population. Algebraically, if Pi is the ith district population, it is shown as Sj (Sj=:~: Sij =PixRij) The major findings are as follows;
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