Appointment scheduling in multi-stage outpatient clinics

Klassen, Kenneth J.; Yoogalingam, Reena

doi:10.1007/s10729-018-9434-x

Cited by 35 publications

(23 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There needs to be consideration in incentivizing providers to excel in the outpatient environment and removing them from the scrutiny of relative value unit (RVU) metrics many institutions utilize to assess productivity as most RVUs come from procedures and inpatient work. The use of nurse practitioners and physician assistants also becomes relevant when a service is trying to expand capacity to meet excessive demand ( Klassen & Yoogalingam, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

The Effects of Session Standardization and Template Optimization on Improving Access to High-Demand Pediatric Subspecialty Care

Volk

Hollier²,

Karon³

et al. 2020

Journal of Ambulatory Care Management

View full text Add to dashboard Cite

A major focus of US health care systems is ensuring timely patient access to subspecialty care. This article describes the experiences of a large children's hospital after implementation of clinic session standardization and template optimization. Outpatient specialty clinic sessions were standardized to 4-hour periods, and all unfilled complex appointment slots were made available for any appointment type within 72 hours of the clinic date. Three high-demand outpatient clinical services achieved increased aggregate potential and completed outpatient appointments over a 2-year period. These improvements were mostly due to an increase in providers and were not always coupled to shorter patient lag times.

show abstract

Section: Discussionmentioning

confidence: 99%

The Effects of Session Standardization and Template Optimization on Improving Access to High-Demand Pediatric Subspecialty Care

Volk

Hollier²,

Karon³

et al. 2020

Journal of Ambulatory Care Management

View full text Add to dashboard Cite

show abstract

“…In the literature of outpatient scheduling, the articles that consider multiple resources in the model are the most relevant ones to our study (Alvarez‐Oh, Balasubramanian, Koker, & Muriel, 2018; Batun, Denton, Huschka, & Schaefer, 2011; Hur, Bard, & Morrice, 2020; Klassen & Yoogalingam, 2019; Leeftink, Vliegen, & Hans, 2019; Perez, Ntaimo, Malave, Bailey, & McCormack, 2013; Riise, Mannino, & Lamorgese, 2016). Below, we provide an in‐depth comparison between our study and the studies that formulate two‐stage stochastic programming model.…”

Section: Literature Reviewmentioning

confidence: 99%

A stochastic programming approach for chemotherapy appointment scheduling

Demir

Gül

Çelik

2020

Naval Research Logistics

View full text Add to dashboard Cite

Chemotherapy appointment scheduling is a challenging problem due to the uncertainty in premedication and infusion durations. In this paper, we formulate a two‐stage stochastic mixed integer programming model for the chemotherapy appointment scheduling problem under limited availability of nurses and infusion chairs. The objective is to minimize the expected weighted sum of nurse overtime, chair idle time, and patient waiting time. The computational burden to solve real‐life instances of this problem to optimality is significantly high, even in the deterministic case. To overcome this burden, we incorporate valid bounds and symmetry breaking constraints. Progressive hedging algorithm is implemented in order to solve the improved formulation heuristically. We enhance the algorithm through a penalty update method, cycle detection and variable fixing mechanisms, and a linear approximation of the objective function. Using numerical experiments based on real data from a major oncology hospital, we compare our solution approach with several scheduling heuristics from the relevant literature, generate managerial insights related to the impact of the number of nurses and chairs on appointment schedules, and estimate the value of stochastic solution to assess the significance of considering uncertainty.

show abstract

“…1,15,17–21 In an important research, appointment scheduling for a single-physician outpatient office was studied by Klassen and Yoogalingam. 22 The authors developed an optimization approach to find the optimal values for a multi-stage outpatient service. Several constraints (e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-objective integrated planning and scheduling model for operating rooms under uncertainty

Ansarifar

Tavakkoli–Moghaddam

Akhavizadegan

et al. 2018

Proc Inst Mech Eng H

View full text Add to dashboard Cite

This article formulates the operating rooms considering several constraints of the real world, such as decision-making styles, multiple stages for surgeries, time windows for resources, and specialty and complexity of surgery. Based on planning, surgeries are assigned to the working days. Then, the scheduling part determines the sequence of surgeries per day. Moreover, an integrated fuzzy possibilistic–stochastic mathematical programming approach is applied to consider some sources of uncertainty, simultaneously. Net revenues of operating rooms are maximized through the first objective function. Minimizing a decision-making style inconsistency among human resources and maximizing utilization of operating rooms are considered as the second and third objectives, respectively. Two popular multi-objective meta-heuristic algorithms including Non-dominated Sorting Genetic Algorithm and Multi-Objective Particle Swarm Optimization are utilized for solving the developed model. Moreover, different comparison metrics are applied to compare the two proposed meta-heuristics. Several test problems based on the data obtained from a public hospital located in Iran are used to display the performance of the model. According to the results, Non-dominated Sorting Genetic Algorithm-II outperforms the Multi-Objective Particle Swarm Optimization algorithm in most of the utilized metrics. Moreover, the results indicate that our proposed model is more effective and efficient to schedule and plan surgeries and assign resources than manual scheduling.

show abstract

Appointment scheduling in multi-stage outpatient clinics

Cited by 35 publications

References 37 publications

The Effects of Session Standardization and Template Optimization on Improving Access to High-Demand Pediatric Subspecialty Care

The Effects of Session Standardization and Template Optimization on Improving Access to High-Demand Pediatric Subspecialty Care

A stochastic programming approach for chemotherapy appointment scheduling

Multi-objective integrated planning and scheduling model for operating rooms under uncertainty

Contact Info

Product

Resources

About