Analysis of Factors Delaying on Waiting Time of Outpatient in a General Hospital

김승희,; 손운선,; 최준영,; 노정석,; 양유정,

doi:10.23948/kshw.2008.12.10.107

Cited by 4 publications

(3 citation statements)

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“…Studies conducted at the department level include those conducted at Departments of Internal Medicine [ 6 ], Orthopedics [ 8 ], Emergency Room [ 12 13 ], Radiology [ 10 ], and MRI [ 14 ]. Studies conducted at the healthcare center level include those conducted on a whole outpatient department [ 5 7 15 ]. Studies on waiting time and utilization analysis can be further classified into those on reneging [ 11 16 17 ], variable arrival rate [ 18 ], priority queueing discipline [ 19 20 ], and blocking [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Queueing Theory to the Analysis of Changes in Outpatients' Waiting Times in Hospitals Introducing EMR

et al. 2017

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ObjectivesThis research used queueing theory to analyze changes in outpatients' waiting times before and after the introduction of Electronic Medical Record (EMR) systems.MethodsWe 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.ResultsUsing 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%.ConclusionsIt 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.

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Section: Introductionmentioning

confidence: 99%

Application of Queueing Theory to the Analysis of Changes in Outpatients' Waiting Times in Hospitals Introducing EMR

et al. 2017

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“…Eventually, time extension through a series of examinations leads to complaints regarding medical services, resulting in poor medical quality and low patient satisfaction. In outpatient care settings, the phenomenon of a patient waiting is perceived more negatively than that in general waiting conditions [ 20 ]; therefore, reducing the waiting time can lead to meeting patient satisfaction and improving medical quality [ 21 ]. In this respect, if the accuracy and consistency of measurements with the MR-6000 are significant compared to that of existing devices, the use of multiple devices can be replaced with a single device, saving time during examinations, and elevating the quality of medical services.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Anterior Segment Measurements with a New Multifunctional Unit and Five Other Devices

Kim

Jun

2022

Korean J Ophthalmol

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Purpose: To evaluate the clinical availability of a multifunctional ocular biometric unit, MR-6000, for simultaneous keratometry, tonometry, topography, and pachymetry evaluation, and compare anterior segment measurements with five other devices: autokeratometer (KR-1), Scheimpflug camera (Pentacam HR), swept-source optical coherence tomography (IOLMaster 700), Placido disk scanning-slit topography (Orbscan II), and noncontact tonometry (FT-1000).Methods: Thirty eyes from thirty patients who visited Severance Hospital for cataract surgery were examined using MR6000 and the other devices. The mean keratometry, central corneal thickness (CCT), white-to-white (WTW) distance, and intraocular pressure (IOP) values were compared. Repeated measures analysis of variance, Wilcoxon signed-rank test, intraclass correlation coefficient (ICC), and Bland-Altman plot were used to assess the correlation and agreement between devices.Results: Thirty eyes of thirty patients were evaluated. Statistically significant differences in mean keratometry between MR6000, KR-1, Pentacam HR, and IOLMaster 700 were not observed (p > 0.05). All five devices, including Orbscan II, had almost perfect agreement in measuring keratometry (ICC > 0.80, p < 0.05). CCT measured by MR-6000 was significantly different from that of Pentacam HR and Orbscan II measurements (p < 0.05) but correlated with that of Pentacam HR and Orbscan II measurements (ICC > 0.60, p < 0.05). The WTW distance measured by MR-6000 was not significantly different from that measured by IOLMaster 700 but was different from that measured by Orbscan II. IOP measured by MR-6000 was not correlated with FT-1000.Conclusions: Keratometric values obtained through MR-6000 can be used interchangeably with other devices based on good correlation and agreement. However, the CCT, WTW, and IOP values were not interchangeable with a single multifunctional unit for cataract surgery preoperative examination.

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“…The classification of studies on applying queuing theory to healthcare service can be based upon waiting time and utilization analysis (Yeo et al, 2014), which can be further classified into those on reneging (Broyles and Cochran, 2007), variable arrival rate (Worthington, 1987), priority queuing discipline (Fiems et al, 2005) and blocking (Koizumi et al, 2005); whereas studies on system design with respect to queuing (Green et al, 2006;Park and Kwag, 2009) are classified into cost minimization (Gorunescu et al, 2002) and blocking. Based on size of the system (Hall et al, 2013), studies have been conducted at department-level which includes Departments of Internal Medicine (Hwang, 2006), Orthopaedics (Yeo et al, 2014), Emergency Room (Kim et al, 2009;Mandelbaum et al, 2012), Radiology (Park and Kwag, 2009) and MRI (Green and Savin, 2008); while those conducted at healthcare center-level had the whole outpatient department (Park, 2001;Ko, 2010;Kim et al, 2008).…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Queuing Theory to Optimize Waiting-Time in Hospital Operations

Yaduvanshi

Sharma

2019

OSCM: An Int. Journal

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Waiting time is inherent to the healthcare service sector in India and a major challenge faced by almost every big hospital is queuing. Long waiting time can be a reflection of inefficiency in hospital operations. The outpatient department (OPD) has the biggest queue as compared to other departments in hospital operations. This study comprises of in-depth analysis of OPD from different dimensions. Like in many big hospitals across India, the OPD of Fortis Escorts Hospital in Jaipur, India is managed using experience and rule of thumb rather than strategic research-based techniques such as queuing theory. The Fortis Escorts Hospital in Jaipur receives a large number of patients each day which results in longer waiting time for patients due to long queues. To address this challenge, a SWOT analysis was conducted for the OPD of Fortis Escorts Hospital Jaipur (FEHJ) which resulted into dissecting the queuing problem and coming out with solutions knowing where the hospital operations can excel and where there is a scope of improvement to make the working and processes better. Additionally, after examining the problem analytically and applying queuing theory, measures were suggested to improve the delay points and make the OPD more efficient in order to gain a high patient satisfaction rating.

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Analysis of Factors Delaying on Waiting Time of Outpatient in a General Hospital

Cited by 4 publications

References 0 publications

Application of Queueing Theory to the Analysis of Changes in Outpatients' Waiting Times in Hospitals Introducing EMR

Application of Queueing Theory to the Analysis of Changes in Outpatients' Waiting Times in Hospitals Introducing EMR

Comparison of Anterior Segment Measurements with a New Multifunctional Unit and Five Other Devices

Application of Queuing Theory to Optimize Waiting-Time in Hospital Operations

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