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Queueing Models for Hospital Waiting Lists

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TLDR
Results of some recent research into queueing models are applied to the hospital waiting-list problem to give some important insights into the likely implications of attempts to reduce waiting lists.
Abstract
Results of some recent research into queueing models are applied to the hospital waiting-list problem to give some important insights into the likely implications of attempts to reduce waiting lists.

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Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS

TL;DR: A comprehensive overview of the typical decisions to be made in resource capacity planning and control in health care, and a structured review of relevant articles from the field of Operations Research and Management Sciences (OR/MS) for each planning decision.
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Modelling for the planning and management of bed capacities in hospitals

TL;DR: This paper demonstrates that simple deterministic spreadsheet calculations typically do not provide the appropriate information and result in underestimating true bed requirements, and development and use of a more sophisticated, flexible and necessarily detailed capacity models are needed.
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Rationing by waiting lists: an empirical investigation

TL;DR: In this paper, a model of the waiting list for elective surgery in the British National Health Service is presented, where waiting time is allowed to influence both supply of and demand for surgery.
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A comprehensive simulation for wait time reduction and capacity planning applied in general surgery

TL;DR: Using operational research techniques to analyze the wait list for the Division of General Surgery at the Capital District Health Authority in Halifax, Nova Scotia, Canada revealed multiple independent and combined options for stabilizing and decreasing waits for elective procedures.
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A queueing model for bed-occupancy management and planning of hospitals

TL;DR: A queueing model is used to determine the main characteristics of the access of patients to hospital, such as mean bed occupancy and the probability that a demand for hospital care is lost because all beds are occupied.
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