A new appointment rule for a single-server, multiple-customer service system

Yang, Kum Khiong; Lau, Mun Ling; Quek, Ser Aik

doi:10.1002/(sici)1520-6750(199804)45:3<313::aid-nav5>3.0.co;2-a

Cited by 49 publications

(42 citation statements)

References 13 publications

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“…A number of other simulation studies cite the importance of including N when comparing AS [1], [15][16][17]. In practice, the total number of patients that can be seen in a session will depend on the mean service times.…”

Section: Environmental Factorsmentioning

confidence: 99%

Designing appointment scheduling systems for ambulatory care services

Çayırlı

Veral

Rosen

2006

Health Care Manage Sci

296

234

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The current climate in the health care industry demands efficiency and patient satisfaction in medical care delivery. These two demands intersect in scheduling of ambulatory care visits. This paper uses patient and doctor-related measures to assess ambulatory care performance and investigates the interactions among appointment system elements and patient panel characteristics. Analysis methodology involves simulation modeling of clinic sessions where empirical data forms the basis of model design and assumptions. Results indicate that patient sequencing has a greater effect on ambulatory care performance than the choice of an appointment rule, and that panel characteristics such as walk-ins, no-shows, punctuality and overall session volume, influence the effectiveness of appointment systems.

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Section: Environmental Factorsmentioning

confidence: 99%

Designing appointment scheduling systems for ambulatory care services

Çayırlı

Veral

Rosen

2006

Health Care Manage Sci

296

234

View full text Add to dashboard Cite

show abstract

“…These include service times modelled by Weibull [15,20], gamma [21,22] and log-normal [18,23] distributions. In select cases where we used triangular and continuous empirical distributions, we performed sensitivity analysis.…”

Section: Simulation Modelmentioning

confidence: 99%

Reducing patient wait times and improving resource utilization at British Columbia Cancer Agency’s ambulatory care unit through simulation

Santibáñez

Chow

French

et al. 2009

Health Care Manag Sci

141

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We consider an ambulatory care unit (ACU) in a large cancer centre, where operational and resource utilization challenges led to overcrowding, excessive delays, and concerns regarding safety of critical patient care duties. We use simulation to analyze the simultaneous impact of operations, scheduling, and resource allocation on patient wait time, clinic overtime, and resource utilization. The impact of these factors has been studied before, but usually in isolation. Further, our model considers multiple clinics operating concurrently, and includes the extra burden of training residents and medical students during patient consults. Through scenario analyses we found that the best outcomes were obtained when not one but multiple changes were implemented simultaneously. We developed configurations that achieve a reduction of up to 70% in patient wait times and 25% in physical space requirements, with the same appointment volume. The key findings of the study are the importance of on time clinic start, the need for improved patient scheduling; and the potential improvements from allocating examination rooms flexibly and dynamically among individual clinics within each of the oncology programs. These findings are currently being evaluated for implementation by senior management.

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“…Yang et al found that most of the appointment rules mentioned in the literature worked well only in specific service environments [58]. They proposed a new appointment rule that characterised service environments in a mathematical function.…”

Section: Simulating Outpatient Schedulingmentioning

confidence: 99%

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

Hong

Arumugam

Yusuff

2013

sajie

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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.

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A new appointment rule for a single-server, multiple-customer service system

Cited by 49 publications

References 13 publications

Designing appointment scheduling systems for ambulatory care services

Designing appointment scheduling systems for ambulatory care services

Reducing patient wait times and improving resource utilization at British Columbia Cancer Agency’s ambulatory care unit through simulation

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

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