The use of computer simulation to develop hospital systems

Hancock, Walton M.; Walter, Paul F.

doi:10.1145/1102815.1102819

Cited by 27 publications

(13 citation statements)

References 1 publication

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“…They show that alternative decision rules for scheduling appointments can increase patient throughput and staff utilization. Hancock and Walter (1979) present similar results tiom a simulation study attempting to increase patient throughput in a hospital setting. Unfortunately, they were unable to implement the revised scheduling rules because of staff resistance.…”

supporting

confidence: 73%

Simulation of the Queston Physician Network

Swisher¹,

Jacobson

Jun³

et al. 1997

Proceedings of the 29th Conference on Winter Simulation - WSC '97

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This paper examines the construction and implementation of a simulation model that supports the design and development of the Queston Physician Network. Queston seeks to partner with health care professionals to provide high quality, cost-effective medical care. Towards this end, a simulation model encompassing both the operations of a Queston clinic and a Queston Information Center has been developed. This model is built in an object-oriented, visual manner utilizing the Visual Simulation Environment (VSE). Application of the object-oriented paradigm (OOP) allows simulation objects in the Queston model to be easily reused. The simulation model incorporates this reusability with traditional modeling and simulation techniques, including for example, the acceptancerejection method (Law and Kelton 1991) to describe the arrival of walk-in patients to the clinic and the use of thinning (Lewis and Shedler 1979) to create a nonhomogeneous Poisson process that describes the arrival of incoming phone calls to the Information Center. The Queston model provides a means for riskfree implementation and evaluation of operating policies in both the clinical and telephony environments.

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supporting

confidence: 73%

Simulation of the Queston Physician Network

Swisher¹,

Jacobson

Jun³

et al. 1997

Proceedings of the 29th Conference on Winter Simulation - WSC '97

View full text Add to dashboard Cite

show abstract

“…The interest on simulating healthcare systems is not new, in 1979 computer simulations were applied to hospital systems to improve the scheduling of staff members [6], and in another simulation [7] the aim was to quantify the impact that the number of staff members, and beds had on patient throughput time. Moreover, a survey of discreteevent simulation (DES) in healthcare clinics was presented in [8].…”

Section: Related Workmentioning

confidence: 99%

Optimization of Healthcare Emergency Departments by Agent-Based Simulation

Cabrera

Taboada²,

Iglesias³

et al. 2011

Procedia Computer Science

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This paper presents an Agent-Based modeling and simulation to design a decision support system (DSS) for the operation of Healthcare Emergency Departments (ED). This DSS aims to aid EDs managers in setting up strategies and management guidelines to optimize the operation of EDs. This ongoing research is being performed by the Research Group on Individual Oriented Modeling (IoM) of CAOS in the University Autonoma of Barcelona (UAB) in close collaboration with Hospital ED Staff. The simulation main objective is to optimize the performance of such complex and dynamic Healthcare ED. Optimization is performed to find the optimal ED staff configuration, which consists of doctors, triage nurses, and admission personnel, i.e. a multidimensional problem. Two different indexes, to minimize patient waiting time, and to maximize patient throughput, were proposed and tested and their results obtained appying an exhaustive search technique, yield promising results and better understanding of the problem.

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“…Little evidence of implementation was presented. 5.6 Modelling flows between the above departments, and whole system models Jun et al [3] identify multi-facility simulation models conducted by Hancock and Walters [100], Swisher et al [101] and Lowery and Martin [74].…”

Section: Summary-diagnostics Modelsmentioning

confidence: 99%

What is a ‘generic’ hospital model?—a comparison of ‘generic’ and ‘specific’ hospital models of emergency patient flows

Fletcher

Worthington

2009

Health Care Manag Sci

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The paper addresses the question in the title via a survey of experienced healthcare modellers and an extensive literature review. It has two objectives. 1. To compare the characteristics of 'generic' and 'specific' models and their success in hospitals for emergency patients 2. To learn lessons about the design, validation and implementation of models of flows of emergency patients through acute hospitals First the survey and some key papers lead to a proposed 'spectrum of genericity', consisting of four levels. We focus on two of these levels, distinguished from each other by their purpose. Secondly modelling work on the flow of emergency patient flows through and between A&E, Bed Management, Surgery, Intensive Care and Diagnostics is then reviewed. Finally the review is used to provide a much more comprehensive comparison of'generic' and 'specific' models, distinguishing three types of genericity and identifying 24 important features of models and the associated modelling process. Many features are common across model types, but there are also important distinctions, with implications for model development.

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The use of computer simulation to develop hospital systems

Cited by 27 publications

References 1 publication

Simulation of the Queston Physician Network

Simulation of the Queston Physician Network

Optimization of Healthcare Emergency Departments by Agent-Based Simulation

What is a ‘generic’ hospital model?—a comparison of ‘generic’ and ‘specific’ hospital models of emergency patient flows

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