Masters Theses

Raja A. Baru

Keywords and Phrases

Capacity planning; Discrete event simulation; Hospital behavior

Abstract

"In order to provide access to care in a timely manner, it is necessary to effectively manage the allocation of limited resources such as beds. Bed management is key to the effective delivery of high-quality and low-cost healthcare. An efficient utilization of beds requires a detailed understanding of the hospital's operational behavior. It is necessary to understand the behavior of a hospital in order to make necessary adjustments to its resources, and policies, which can improve patient's access to care. The aim of this research was to develop a discrete event simulation to assist in planning and staff scheduling decisions. Each department's performance measures were taken into consideration separately to understand and quantify the behavior of individual departments, and the hospital system as a whole. Several scenarios were analyzed to determine the impact on reducing the number of patients waiting in queue, waiting time for patients, and length of stay of patients. From the results, the departments that have long queues of patients, waiting times, and lengths of stay are detailed to predict how the hospital reacts to patient flow"--Abstract, page iv.

Advisor(s)

Cudney, Elizabeth A.

Committee Member(s)

Guardiola, Ivan
Murray, Susan L.

Department(s)

Engineering Management and Systems Engineering

Degree Name

M.S. in Engineering Management

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2015

Journal article titles appearing in thesis/dissertation

  • Systematic review of operations research and simulation models for bed management
  • A decision support simulation model for bed management in healthcare

Pagination

x, 48 pages

Note about bibliography

Includes bibliographical references.

Rights

© 2015 Raja Anvesh Baru, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Health services administration -- Decision making -- Computer simulation
Medical informatics
Decision support systems
Discrete-time systems -- Simulation methods
Queuing theory

Thesis Number

T 10780

Electronic OCLC #

936205963

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