A system dynamics-based decision support model for chemotherapy planning

Heshmat, Mahmoud; Eltawil, Amr B.

doi:10.1057/s41273-017-0059-8

Cited by 6 publications

(10 citation statements)

References 8 publications

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“…Rashwan et al 31 presented a SD methodology to improve the elderly patient flow throw investigating different scenarios and their effect on delayed discharged beds and patient waiting at the emergency department. Heshmat and Eltawil 32 introduced a SD model to support decisions that affect treatment planning for chemotherapy.…”

Section: Literature Surveymentioning

confidence: 99%

A system dynamics-based model to implement the Theory of Constraints in a healthcare system

Grida

zeid

2018

SIMULATION

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The management of costly and limited healthcare resources, such as operating rooms, doctors, nurses, and beds, is challenged by the uncertainty of arrivals and the service time of different types of patients. Therefore, healthcare units encounter unbalanced utilization of such resources and unnecessary long patient waiting times. A system dynamics model simulating a typical medium-sized hospital, where different types of patients are served using the same limited resources, is developed to implement the Theory of Constraints philosophy. The AnyLogic environment is used for execution. The model is used to identify the system bottleneck resource, then to exploit and to subordinate the system around this resource. The number of served patients (throughput) is increased by 6% without any resource elevation. Furthermore, the model is used to determine the proper capacity needed to elevate the bottleneck resource.

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Section: Literature Surveymentioning

confidence: 99%

A system dynamics-based model to implement the Theory of Constraints in a healthcare system

Grida

zeid

2018

SIMULATION

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“…Equation (4) calculates the total completion time of all the treatments (for both new and existing patients); it can only be regarded as approximate because the appointment times are not determined in the planning stage. The set of constraints (5) ensures that the completion time of the OCC is bounded by its working time.…”

Section: The Proposed Model For the Planning Problemmentioning

confidence: 99%

“…In this section we describe the SD model developed by Heshmat and Eltawil [5]. Figure 1 depicts the SD model that is used to test the usefulness of chemotherapy protocols.…”

Section: Description Of the Sd Modelmentioning

confidence: 99%

“…For the treatment planning problem, system dynamics (SD) modelling can be used as a decisionsupport tool for oncologists to enable them to test multiple scenarios of treatment plans to approve the most effective one. SD can also help to highlight the impact (i.e., the robustness) of any deviation from the prescribed treatment plans, as the study of Heshmat and Eltawil [5] suggests. In this paper, we applied the SD model of Heshmat and Eltawil [5] to different test scenarios of patients requiring treatment at an outpatient chemotherapy clinic (OCC) over a specified planning horizon.…”

Section: Introductionmentioning

confidence: 99%

“…SD can also help to highlight the impact (i.e., the robustness) of any deviation from the prescribed treatment plans, as the study of Heshmat and Eltawil [5] suggests. In this paper, we applied the SD model of Heshmat and Eltawil [5] to different test scenarios of patients requiring treatment at an outpatient chemotherapy clinic (OCC) over a specified planning horizon. The SD model abstracts the chemotherapy treatment regimen and can be efficiently applied at the strategic level of chemotherapy by setting and testing various treatment scenarios and protocols before execution.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improving the Operations Performance of a Chemotherapy Clinic: A Two-Phase Approach

Alabdulkarim¹

2018

SAJIE

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The increasing number of cancer patients, coupled with the development and use of new, efficient medications, has increased the demand for cancer service care. Outpatient chemotherapy clinics (OCCs) are complex facilities, due to the large variability in treatment durations resulting from different cancer types and chemotherapy protocols under limited resources. In this paper we address the operations planning problem encountered by OCCs, of optimally assigning the first days of treatment for a set of new patients in tandem with the presence of existing patients. We propose a two-phase approach to optimise the start days of a set of new patients. In the first stage, a system dynamics (SD) simulation model, adapted from the literature, is used to find the critical days for the new patients -i.e., the upper bounds by which patients must begin treatment. The optimal start days are then determined using a new mixed-integer programming (MIP) model. The results show that the optimal start days can be effectively prioritised and evaluated using simulation and mathematical programming.

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Multi-Objective Simulation-Based Optimization for Effective Management of the Outpatient Chemotherapy Process

Hadid

Elomri²,

Jouini³

et al. 2022

IFAC-PapersOnLine

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A system dynamics-based decision support model for chemotherapy planning

Cited by 6 publications

References 8 publications

A system dynamics-based model to implement the Theory of Constraints in a healthcare system

A system dynamics-based model to implement the Theory of Constraints in a healthcare system

Improving the Operations Performance of a Chemotherapy Clinic: A Two-Phase Approach

Multi-Objective Simulation-Based Optimization for Effective Management of the Outpatient Chemotherapy Process

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