J Korean Soc Emerg Med.  2021 Oct;32(5):432-446.

Types of emergency patient analyzed using the geographic information system

Affiliations
  • 1Department of Emergency Medicine, Kangwon National University Hospital, Chuncheon, Korea
  • 2Department of Emergency Medicine, School of Medicine, Kangwon National University, Chuncheon, Korea
  • 3Department of Radiology, Kangwon National University Hospital, Chuncheon, Korea
  • 4Department of Radiology, School of Medicine, Kangwon National University, Chuncheon, Korea
  • 5Department of Geography Education, College of Education, Kangwon National University, Chuncheon, Korea

Abstract


Objective
Predicting the incidence of emergency patients can be very important for the efficient use of emergency medical resources and the deployment of 119 centers in a pre-hospital setting. The study was conducted to analyze the occurrence of emergency patients using geographic information systems in a pre-hospital setting in Korea.
Methods
The basic data used in this study were collected from the 119 centers in Chuncheon-si, Korea, under the firefighting headquarters in Gangwon-do from January 2012 to December 2016.
Results
The total number of patients transferred by 119 paramedics was 72,362. Of these, 9,904 (14.7%) were emergency patients; 519 (0.7%) had cardiovascular diseases; 383 (0.5%) had cerebrovascular diseases; 3,043 (4.2%) were trauma patients; 58,413 (80.7%) were non-emergency patients. The occurrence of emergency diseases was slightly lower in the Hyoja-dong area, and it was slightly higher in the area of the outskirts of the city. The incidence of heart disease was low in the Hyoja-dong and Nam-myeon areas, but the incidence of heart disease was highly observed in other areas. The number of trauma patients was 1,265 (41.6%) in the outskirts of the city, a suburban area, showing a relatively higher incidence than other emerging diseases.
Conclusion
The deployment of ambulances in Chuncheon-si should be carried out considering demographic characteristics and patient occurrence.

Keyword

Spatio-temporal analysis; Emergency medical service; Geographic information systems
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