응급의료센터 체류시간 최적화
A Stay Time Optimization Model Emergency Medical Center (EMC)
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참고문헌
키워드
초록
Purpose: The aim of this study was to estimate optimization model of stay time in EMC. Methods: Data were collected at an EMC in a hospital using medical records from June to August in 2007. The sample size was 8,378. The data were structured by stay time for doctor visit, decision making, and discharge from EMC. Descriptive statistics were used to find out general characteristics of patients. Average mean and quantile regression models were adopted to estimate optimized stay time in EMC. Results: The stay times in EMC were highly skewed and non-normal distributions. Therefore, average mean as an indicator of optimal stay time was not appropriate. The total stay time using conditional quantile regression model was estimated about 110 min, that was about 166 min shorter than estimated time using average mean. Conclusion: According to these results, we recommend to use a conditional quantile regression model to estimate optimal stay time in EMC. We suggest that this results will be used to develop a guideline to manage stay time more effectively in EMC.
Abstract
Purpose: The aim of this study was to estimate optimization model of stay time in EMC. Methods: Data were collected at an EMC in a hospital using medical records from June to August in 2007. The sample size was 8,378. The data were structured by stay time for doctor visit, decision making, and discharge from EMC. Descriptive statistics were used to find out general characteristics of patients. Average mean and quantile regression models were adopted to estimate optimized stay time in EMC. Results: The stay times in EMC were highly skewed and non-normal distributions. Therefore, average mean as an indicator of optimal stay time was not appropriate. The total stay time using conditional quantile regression model was estimated about 110 min, that was about 166 min shorter than estimated time using average mean. Conclusion: According to these results, we recommend to use a conditional quantile regression model to estimate optimal stay time in EMC. We suggest that this results will be used to develop a guideline to manage stay time more effectively in EMC.
참고문헌 (13)
- Behr, A, "Quantile regression for robust bank efficiency score estimation", European Journal of Operational Research, 200(2), pp.568~581 (2010)
- Choi, M. S, "A simulation of alternative policies for reducing waiting time at the emergency room", 석사, pp.2000
- Kang, C. W, "Performance evaluation of emergency medical center", The Korean journal of preventive medicine, 30(4), pp.884~892 (1997)
- Kang, D. W., "The survey on utilization of emergency room pre-post emergency medical center", Journal of Daehan Medical Association, 34(7), pp.769~777 (1991)
- 김은주, "응급실 환자의 응급의료센터 체류시간 단축프로그램 개발 및 효과", 가정간호학회지, 17(1), pp.21~27 (2010), 한국가정간호학회
- Kim, K. O, "The relationship between stay time in emergency rooms and the degree of triage", 석사, pp.2005
- 김원희, "응급실 협진의뢰의 자동화가 응급실 체류시간에 미치는 영향", 대한응급의학회지, 20(2), pp.155~162 (2009), 대한응급의학회
- Lee, H. J, "The emergency service needs on family of patient", 석사, pp.1998
- Lee, I. J, "A study on the degree of patients' satisfaction for medical service at emergency room", 석사, pp.1996
- 이정만, "응급실 체류시간 단축을 위한 시뮬레이션 분석", 산업경영시스템학회지, 32(4), pp.17~24 (2009), 한국산업경영시스템학회
- Oh, H, "Degree of patients' family's anxiety upon patients' admission to the emergency", 석사, pp.2011
- Shim, S. H, "A study of emergency triage method feasibility and stay time decision factor using triage tool in emergency medical center", Journal of Korean Clinical Nursing Research, 7(2), pp.12~18 (2001)
- Yoo, K. R, "Measurement and evaluation of public sector's efficiency: Theory and application of frontier analysis" (2004), Seoul: Dae Young Co