Reserving Capacity for Urgent Patients in Primary Care

Dobson, Gregory; Hasija, Sameer; Pinker, Edieal J.

doi:10.1111/j.1937-5956.2011.01227.x

Cited by 85 publications

(56 citation statements)

References 18 publications

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“…The multi-day focus concerns the percentage of appointment slots to reserve for open access patients [10,35,36,45,49], since this percentage influences amongst others the queue length and overtime [10]. Contrary to most available literature, Wiesche et al [49] consider flexible capacity, to cope with varying patient arrival rates during the week in a primary care clinic.…”

Section: Open Access Schedulingmentioning

confidence: 99%

Stochastic integer programming for multi-disciplinary outpatient clinic planning

Leeftink

Vliegen

Hans

2017

Health Care Manag Sci

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Scheduling appointments in a multi-disciplinary clinic is complex, since coordination between disciplines is required. The design of a blueprint schedule for a multidisciplinary clinic with open access requirements requires an integrated optimization approach, in which all appointment schedules are jointly optimized. As this currently is an open question in the literature, our research is the first to address this problem. This research is motivated by a Dutch hospital, which uses a multi-disciplinary cancer clinic to communicate the diagnosis and to explain the treatment plan to their patients. Furthermore, also regular patients are seen by the clinicians. All involved clinicians therefore require a blueprint schedule, in which multiple patient types can be scheduled. We design these blueprint schedules by optimizing the patient waiting time, clinician idle time, and clinician overtime. As scheduling decisions at multiple time intervals are involved, and patient routing is stochastic, we model this system as a stochastic integer program. The stochastic integer program is adapted for and solved with a sample Numerical experiments evaluate the performance of the sample average approximation approach. We test the suitability of the approach for the hospital's problem at hand, compare our results with the current hospital schedules, and present the associated savings. Using this approach, robust blueprint schedules can be found for a multi-disciplinary clinic of the Dutch hospital.

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Section: Open Access Schedulingmentioning

confidence: 99%

Stochastic integer programming for multi-disciplinary outpatient clinic planning

Leeftink

Vliegen

Hans

2017

Health Care Manag Sci

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“…Dobson et al [61] studied the urgent appointment scheduling system that included the carve out system and the advanced access system. Two quality measures, the un-seen urgent patients and the queue length of routine patients, were examined.…”

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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“…Each service session is equally divided into several slots. Each patient occupies one slot [9,10]. Regular patient should make appointment in advance and arrive according to the appointment time.…”

Section: Introductionmentioning

confidence: 99%

Appointment Rule of CT Department under Emergency Random Demand: Based on Numerical Calculation

Zhou¹,

Jun²

2016

Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

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Abstract. This work considers on the impact of different appointment rules on the expected direct waiting cost of patients, the service provider's expected idle cost and overtime cost under the random demand of emergency patients. We compute these costs by modeling and numerical calculation on MATLAB. Numerical examples show that allocating the reserved slots in the middle of the session could dramatically decrease the direct waiting cost of patients. For idle cost and overtime cost of service provider, reserving the slots in the end of the session performs best. Allocated the reserved slots in the end of the session performs well on the expected total cost.

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Reserving Capacity for Urgent Patients in Primary Care

Cited by 85 publications

References 18 publications

Stochastic integer programming for multi-disciplinary outpatient clinic planning

Stochastic integer programming for multi-disciplinary outpatient clinic planning

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

Appointment Rule of CT Department under Emergency Random Demand: Based on Numerical Calculation

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