Application of Queueing Theory to the Analysis of Changes in Outpatients’ Waiting Times in Hospitals Introducing EMR
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Objectives: This research used queueing theory to analyze changes in outpatients’ waiting times before and after the introduction of Electronic Medical Record (EMR) systems. Methods: We focused on the exact drawing of two fundamental parameters for queueing analysis, arrival rate (λ) and service rate (μ), from digital data to apply queueing theory to the analysis of outpatients’ waiting times. We used outpatients’ reception times and consultation finish times to calculate the arrival and service rates, respectively. Results: Using queueing theory, we could calculate waiting time excluding distorted values from the digital data and distortion factors, such as arrival before the hospital open time, which occurs frequently in the initial stage of a queueing system. We analyzed changes in outpatients’ waiting times before and after the introduction of EMR using the methodology proposed in this paper, and found that the outpatients’ waiting time decreases after the introduction of EMR. More specifically, the outpatients’ waiting times in the target public hospitals have decreased by rates in the range between 44% and 78%. Conclusions: It is possible to analyze waiting times while minimizing input errors and limitations influencing consultation procedures if we use digital data and apply the queueing theory. Our results verify that the introduction of EMR contributes to the improvement of patient services by decreasing outpatients’ waiting time, or by increasing efficiency. It is also expected that our methodology or its expansion could contribute to the improvement of hospital service by assisting the identification and resolution of bottlenecks in the outpatient consultation process.
Abstract
Objectives: This research used queueing theory to analyze changes in outpatients’ waiting times before and after the introduction of Electronic Medical Record (EMR) systems. Methods: We focused on the exact drawing of two fundamental parameters for queueing analysis, arrival rate (λ) and service rate (μ), from digital data to apply queueing theory to the analysis of outpatients’ waiting times. We used outpatients’ reception times and consultation finish times to calculate the arrival and service rates, respectively. Results: Using queueing theory, we could calculate waiting time excluding distorted values from the digital data and distortion factors, such as arrival before the hospital open time, which occurs frequently in the initial stage of a queueing system. We analyzed changes in outpatients’ waiting times before and after the introduction of EMR using the methodology proposed in this paper, and found that the outpatients’ waiting time decreases after the introduction of EMR. More specifically, the outpatients’ waiting times in the target public hospitals have decreased by rates in the range between 44% and 78%. Conclusions: It is possible to analyze waiting times while minimizing input errors and limitations influencing consultation procedures if we use digital data and apply the queueing theory. Our results verify that the introduction of EMR contributes to the improvement of patient services by decreasing outpatients’ waiting time, or by increasing efficiency. It is also expected that our methodology or its expansion could contribute to the improvement of hospital service by assisting the identification and resolution of bottlenecks in the outpatient consultation process.
참고문헌 (25)
- 정병희, "환자 만족도 향상을 위한 진료 스케줄 안내시스템 구현", 한국정보기술학회논문지, 10(2), pp.87~92 (2012), 한국정보기술학회
- 채영문, "병원정보화 평가를 위한 PRM 기반의 체계 개발 및 적용", 보건의료산업학회지, 5(1), pp.1~13 (2011), 보건의료산업학회
- 조경원, "Performance Evaluation of Public Hospital Information Systems by the Information System Success Model", Healthcare Informatics Research, 21(1), pp.43~48 (2015), 대한의료정보학회[DOI]
- An CH, "Study on the economic analysis of hospital information system for regional medical center", pp.2013
- Park SH, "Analysis of factors delaying on waiting time for medical examination of outpatient on a hospital", J Korean Soc Qual Assur Health Care, 8(1), pp.56~72 (2001)
- Hwang JI, "Factors influencing consultation time and waiting time of ambulatory patients in a tertiary teaching hospital", Qual Improv Health Care, 12(1), pp.6~16 (2006)
- 고유경, "일 종합병원 외래환자의 진료대기시간 및 환자만족도, 재이용의도와의 관계", 간호행정학회지, 16(3), pp.219~228 (2010), 간호행정학회
- 여현진, "대기행렬이론을 활용한 의료서비스 환자 대기환경 평가", 품질경영학회지, 42(1), pp.71~80 (2014), 한국품질경영학회[DOI]
- Green LV, "Using queueing theory to increase the effectiveness of emergency department provider staffing", Acad Emerg Med, 13(1), pp.61~68 (2006)
- 박찬권, "의료서비스에서 고객 만족도 제고를 위한 대기시간 관리에 관한 사례 연구", 병원경영학회지, 14(3), pp.132~153 (2009), 한국병원경영학회
- Hall R, "Patient flow", pp.3~42 (2013), Springer
- Kim S, "An application of a queueing network for waiting time reduction at the emergency care center", Proceedings of the Korean Operations and Management Science Society Conference, pp.298~316 (2009)
- Mandelbaum A, "On fair routing from emergency departments to hospital wards : QED queues with heterogeneous servers", Manag Sci, 58(7), pp.1273~1291 (2012)
- Green LV, "Reducing delays for medical appointments : a queueing approach", Oper Res, 56(6), pp.1526~1538 (2008)
- 김승희, "종합병원의 외래진료대기시간과 지연요인 분석", 보건과 복지, 10, pp.107~120 (2008), 한국보건복지학회[DOI]
- Broyles JR, "Estimating business loss to a hospital emergency department from patient reneging by queuing-based regression", Proceedings of the 2007Industrial Engineering Research Conference, pp.613~618 (2007)
- Roche KT, "Improving patient safety by maximizing fast-track benefits in the emergency department:a queuing network approach", Proceedings of the 2007 Industrial Engineering Research Conference, pp.619~624 (2007)
- Worthington DJ, "Queueing models for hospital waiting lists", J Oper Res Soc, 38(5), pp.413~422 (1987)
- Green L., "Patient flow: reducing delay in healthcare delivery", pp.281~307 (2006), Springer
- "Waiting times of scheduled patients in the presence of emergency requests" (2015)[URL]
- Koizumi N, "Modeling patient flows using a queuing network with blocking", Health Care Manag Sci, 8(1), pp.49~60 (2005)
- de Bruin AM, "Modeling the emergency cardiac in-patient flow : an application of queuing theory", Health Care Manag Sci, 10(2), pp.125~137 (2007)
- Gorunescu F, "A queueing model for bed-occupancy management and planning hospitals", J Oper Res Soc, 53(1), pp.19~24 (2002)
- Gorunescu F, "Using a queueing model to help plan bed allocation in a department of geriatric medicine", Health Care Manag Sci, 5(4), pp.307~312 (2002)
- 박찬석, "제약이론(TOC)을 이용한 종합병원 외래 환자 대기시간 개선에 대한 연구", 병원경영학회지, 16(1), pp.77~100 (2011), 한국병원경영학회