Analysis of Factors Causing Long Patient Waiting Time and Clinic Overtime in Outpatient Clinics

Zhu, Zhiwei; Heng, Bee Hoon; Teow, Kiok Liang

doi:10.1007/s10916-010-9538-4

Cited by 52 publications

(40 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A congested clinic increases the work load of its staff and the chances of the clinic overrunning its usual sessions. Long working hours also demotivate the clinical staff, resulting in inefficient use of resources and time [16]. Besides, congested clinics result in longer waiting times -a major cause of patient dissatisfaction.…”

Section: Contemporary Challenges Confronting Urban Outpatient Clinicsmentioning

confidence: 99%

“…Their simulated result shows a 10-minute reduction in waiting time for each patient. Zhu et al [16] found that evenly distributed appointment slots could also reduce the average waiting time and clinic overtime in specialist outpatient clinics.…”

Section: Simulating Outpatient Schedulingmentioning

confidence: 99%

“…One such study to support the above argument was undertaken by Zhu et al [16]. With a discrete simulation model, they analysed the factors that caused long patient waiting time and clinic overtime in an outpatient facility.…”

Section: Patient Flow In the Outpatient Clinicmentioning

confidence: 99%

See 2 more Smart Citations

Use of simulation to solve outpatient clinic problems: A review of the literature

Hong

Arumugam

Yusuff

2013

sajie

View full text Add to dashboard Cite

The increasing demand for outpatient services has led to overcrowded clinics, long waiting times for patients, and extended staff working hours in outpatient clinics. Simulation tools have been used to ameliorate deficiencies in the appointment system, resource allocation, and patient flow management that are the root causes of these problems. Integrated studies that considered these three factors together produced better results than attempts to resolve individual causes. While simulation has proved to be an effective problem-solving tool for outpatient clinic management, there is still room for improvement. This paper reviews studies over the past 50 years that have applied management simulation to resolve outpatient clinic problems. OPSOMMINGDie toenemende vraag na buitepasiëntdienste het gelei tot oorlaaide klinieke, lang wagtye vir pasiënte en verlengde werksure vir personeel in buitepasiëntklinieke. Simulasie sagteware is gebruik om tekortkominge in die afspraakstelsel, hulpbron toekenning en pasiëntvloeibestuur (die hoof oorsake van hierdie probleme) te versag. Geïntegreerde studies, wat hierdie drie faktore gesamentlik in ag neem, het beter resultate gelewer as studies wat individuele gevalle probeer aanspreek het. Alhoewel simulasie 'n effektiewe probleemoplostegniek vir buitepasiëntkliniekbestuur is, is daar steeds ruimte vir verbetering. Hierdie artikel hersien navorsing (wat strek oor die laaste 50 jaar) wat bestuursimulasie toegepas het om buitepasiëntkliniek probleme aan te spreek.

show abstract

Section: Contemporary Challenges Confronting Urban Outpatient Clinicsmentioning

confidence: 99%

Section: Simulating Outpatient Schedulingmentioning

confidence: 99%

See 1 more Smart Citation

Use of simulation to solve outpatient clinic problems: A review of the literature

Hong

Arumugam

Yusuff

2013

sajie

View full text Add to dashboard Cite

show abstract

“…In 2012, a study by Le et al conducted in outpatient clinic (Trung Vuong Emergency Hospital) suggested that the average time spent from registration to doctors' conclusions was 246.87 ± 104.55 minutes (4.11 ± 1.7 hours) 9 . Accordingly, patient waiting time is influenced by various factors, such as working procedure, patient overload and appointment schedule 10,11 .…”

Section: Introductionmentioning

confidence: 99%

Patient waiting time in the outpatient clinic at a central surgical hospital of Vietnam: Implications for resource allocation

et al. 2017

View full text Add to dashboard Cite

Patient waiting time is considered as a crucial parameter in the Background: assessment of healthcare quality and patients' satisfaction towards healthcare services. Data concerning this has remained limited in Vietnam. Thus, this study aims to assess patient waiting time in the outpatient clinic in Viet Duc Hospital (Hanoi, Vietnam) in order to enable stakeholders to inform evidence-based interventions to improve the quality of healthcare services.A cross-sectional study was conducted from June 2014 to June Methods: 2015 in the outpatient clinic at Viet Duc Hospital. Waiting time stratified by years (2014 and 2015), months of the year, weekdays, and hours of the day were extracted from Hospital Management software and carefully calculated. Stata 12.0 was employed to analyze data, including the average time (M± SD), frequencies and percentage (%).There was a total of 137,881 patients involved in the study. The Results: average waiting time from registration to preliminary diagnosis in 2014 was 50.41 minutes, and in 2015 was 42.05 minutes. A longer waiting time was recorded in the morning and in those having health insurance.Our study highlights the essential need for human resource Conclusions: promotion to reduce patient waiting time. Also, attention should be paid to the simplification of administrative procedures in order to reduce waiting time among insured patients.

show abstract

“…Discrete event simulation is widely applied to many sections in healthcare systems such as outpatient clinic [9][10][11][12] , emergency department [13][14][15] , etc. A simulation model was constructed to predict the weekly bed occupancy rate [16] .…”

Section: Introductionmentioning

confidence: 99%

An online short-term bed occupancy rate prediction procedure based on discrete event simulation

Zhu

2014

JHA

View full text Add to dashboard Cite

In recent years, population growth and aging society impose large pressure on the resource requirement in Singapore public hospital system. Beds are one of the most critical resources in healthcare system. How to manage beds efficiently is an important and challenging task for the health service providers in any healthcare systems. One frequently used performance indicator of bed management is bed occupancy rate, which measures the bed utilization. In this paper, an online prediction procedure based on discrete event simulation is proposed and developed to predict bed occupancy rate in a short term period. Simulation results show that the predicted values are closer to the actual values with narrower confidence interval compared to the offline approach. Hence such a prediction procedure is able to provide a more reliable reference for decision making of the health service providers.

show abstract

Analysis of Factors Causing Long Patient Waiting Time and Clinic Overtime in Outpatient Clinics

Cited by 52 publications

References 17 publications

Use of simulation to solve outpatient clinic problems: A review of the literature

Use of simulation to solve outpatient clinic problems: A review of the literature

Patient waiting time in the outpatient clinic at a central surgical hospital of Vietnam: Implications for resource allocation

An online short-term bed occupancy rate prediction procedure based on discrete event simulation

Contact Info

Product

Resources

About