DOI QR코드

DOI QR Code

A Convergence study for the Shorten of Pre-hospital Emergency Medical Response Time in Vehicle Accident

차량 사고에서 병원 전 응급의료 대응시간 단축을 위한 융합연구

  • Jeon, Hyeok-Jin (Department of Emergency Medical Technology, Choonhae College of Health Sciences)
  • 전혁진 (춘해보건대학교 응급구조과)
  • Received : 2019.04.04
  • Accepted : 2019.05.20
  • Published : 2019.05.28

Abstract

The purpose of this study was a convergence study to find a way to shorten pre-hospital emergency medical response time in vehicle accident. This study analyzed the factors of hospital emergency response time by utilizing weather, road type, accident type, and rescue response to 353 vehicle passengers who visited the three emergency medical centers from January 1, 2011 to July 30, 2016 in Korea In-Depth Accident Study. The results of the study showed that the highway used the most time to prehospital emergency medical response time and was a factor affecting the overall time (${\beta}=.543$, p<.001). In order to shorten the emergency medical response time in highway, the operation of emergency services on the highway, the active use of emergency turn road and the automatic emergency rescue service with individual devices were proposed.

본 연구는 차량 사고에서 병원 전 응급의료 대응시간을 단축시키기 위한 방안을 모색한 융합연구이다. 연구방법은 한국형 교통사고 심층조사 분석 체계(Korea In-Depth Accident Study)에서 2011년 1월 1일부터 2016년 7월 30일까지 3개의 응급의료센터에 119구급대로 내원한 차량 탑승자 353명을 대상으로 날씨, 도로유형, 사고유형, 구조대 출동 여부를 활용하여 병원 전 응급의료 대응시간에 대해 요인 분석하였다. 연구결과에서 고속도로는 병원 전 응급의료 대응시간을 가장 많이 소요하였고 전체시간에 영향을 주는 요인으로 확인되었다(${\beta}=.543$, p<.001). 따라서 고속도로에서 소요되는 시간을 단축시키기 위해 고속도로 119구급대의 운영과 비상회차로의 적극적인 사용, 개별 장치를 부착한 자동 긴급구조신호 서비스의 제공을 제시하였다.

Keywords

Table 1. Frequency analysis of Factors in Vehicle accidents

OHHGBW_2019_v10n5_111_t0001.png 이미지

Table 2. Comparison of Pre-hospital Emergency Medical Response Time by Rescue team

OHHGBW_2019_v10n5_111_t0002.png 이미지

Table 3. Comparison of Pre-hospital Emergency Medical Response Time by type of road and accident

OHHGBW_2019_v10n5_111_t0003.png 이미지

Table 4. Factors Affecting on Total Pre-hospital Emergency Medical Response Time

OHHGBW_2019_v10n5_111_t0004.png 이미지

References

  1. Korean Statistical Information Service. (29 Mar 2019). KOSIS. Transportation. http://http://kosis.kr/index/index.do
  2. Traffic Accident Analysis System. (29 Mar 2019). TASS . Major Traffic Accident Statistics. Transportation. http://taas.koroad.or.kr/
  3. J. M. Koh, T. M. Kim & H. S. Kim. (2003). A Study on Development Way of Fire Fighting 119 Angers of Jeju Islander. The Journal of the Korean Society of Emergency Medical Technology, 7(1), 147-178.
  4. S. K. Yoou & T. H. Uhm. (2010). Correlation between En route Distance and Role Time on Call Eeceived Hours. The Journal of the Korean Society of Emergency Medical Technology, 14(3), 5-11.
  5. J. G. Yoon, G. N. Kim, K. W. Kim & Y. T. Jeong. (2004). The Present Condition Analysis of Patients who Transferred to the Emergency Room by 119 Rescue Service at Night. The Journal of the Korean Society of Emergency Medical Technology, 8(1), 117-126.
  6. T. H. Uhm.. (2005). An Analysis of Emergency Care Based on Prehospital Care Reports. The Journal of the Korean Society of Emergency Medical Technology, 9(1), 101-110.
  7. K. Y. Lee, J. D. Moon & E. S. Choi. (2016). The Regional Characteristics of 119 Ambulance Dispatch, the Distance and Response Time to the Scene. The Journal of the Korean contents Association, 22(2), 29-36.
  8. S. W. Kim, J. W. Lee & Y. H. Youn. (2014). A Study on the Construction of the Database Structure for the Korea In-depth Accident Study. Transportations of Korean Society of Automotive Engineers, 16(1), 482-492.
  9. Y. S. Chung, R. K. Park & J. M. Kim. (2014). Study on predictive modeling of incidence of traffic accidents caused by weather conditions. Journal of the Korea Convergence Society, 5(1), 9-15. https://doi.org/10.15207/JKCS.2014.5.1.009
  10. C. W. Jeong. (2007). A Study on the Influencing Factors of Drowsy Driving by Binary Logistic Regression Analysis. Police Science Institute, 21, 46-69.
  11. N. Chakrabartya & K. Guptab. (2013). Analysis of Driver Behaviour and Crash Characteristics during Adverse Weather Conditions. Procedia - Social and Behavioral Sciences , 104, 1048-1057. https://doi.org/10.1016/j.sbspro.2013.11.200
  12. C. Kleber et al. (2013). Rescue time and survival of severely injured patients in Germany. Der Unfallchirurg, 116(4), 345-350. DOI: 10.1007/s00113-011-2132-5
  13. S. Park. (2011). A Study on the Legal Issues of Toll Expressways in Korea. Kookmin Law Review, 24(1), 341-373. https://doi.org/10.17251/legal.2011.24.1.341
  14. H. R. Shin. (2009). Evaluation on the Improvement Project of Provincial Road Structure, Seoul : National Assembly Budget Office.
  15. J. Y. Park, D. S. Kim, Y. C. Kwak, C. K, Son & Y. H. Youn. (2018). The Effectiveness of Center Airbag on Passenger Kinematics and Head Injury in Side Collisions. Journal of Auto-Vehicle Safety Association, 10(3), 7-12. https://doi.org/10.22680/KASA2018.10.3.007
  16. M. H. Kim, H. S. Kim, D. K. Kim & C. W. Lee. (2013). Optimal Location of Expressway Patrol Vehicle Stations Using Maximum Covering and Weighted p-Center Problems. The journal of the Korea institute of intelligent transport systems, 12(1), 43-50. https://doi.org/10.12815/kits.2013.12.1.043
  17. J. G. Yun & K. C. Choi. (2017). The propriety of Spatial Arrangement Condition of 119 Emergency Medical Service - Mainly Around H Town Area, Countrysid of Y city -. Journal of the Korea Academia-Industrial cooperation Society, 18(11), 374-380. https://doi.org/10.5762/KAIS.2017.18.11.374
  18. X. Liu, G. Chen & L. Li. (2014). Time Criteria for Opening Movable Guardrails Fast. 2014 International Conference of Logistics Engineering and Management, (pp. 642-649). Berlin : ICLEM
  19. R. Allan (2003). OnStar System Puts Telematics On The Map Millions of drivers now take advantage of this interactive automotive security, convenience, and roadside-assistance infrastructure. Electronic Design, 51(7), 49-56.
  20. R. M. von Bulow & M. Neubauer. (2013). BMW Assist Advanced eCall: Overview and Benefits. Journal of the Society of Automotive Engineers of Japan, 67(12), 26-31.
  21. W. Wei & F. Hanbo. (2014, April). Traffic accident automatic detection and remote alarm device. 2011 International Conference on Electric Information and Control Engineering, (pp. 910-913). Wuhan : IEEE
  22. S. Chaklader, J Alam, M. Islam & A. S. Sabbir. (2014, May). Black Box: An emergency rescue dispatch system for road vehicles for instant notification of road accidents and post crash analysis. 2014 International Conference on Informatics, Electronics & Vision (ICIEV), (pp. 1-6). Dhaka : IEEE