Theory of Constraints for Publicly Funded Health Systems

This thesis aims to fill the gaps in the literature of the theory of constraints (TOC) in publicly funded health systems. While TOC seems to be a natural fit for this resource-constrained environment, there are still no reported application of TOC’s drum-buffer-rope tool and inadequate customization...

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Bibliographic Details
Main Author: Sadat, Somayeh
Other Authors: Carter, Michael W.
Language:en_ca
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/1807/17826
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spelling ndltd-TORONTO-oai-tspace.library.utoronto.ca-1807-178262013-11-01T04:10:39ZTheory of Constraints for Publicly Funded Health SystemsSadat, Somayehtheory of constraintspublicly funded health systemssystem dynamicsperformance measurediscrete event simulationquality adjusted life yearresource allocation0546This thesis aims to fill the gaps in the literature of the theory of constraints (TOC) in publicly funded health systems. While TOC seems to be a natural fit for this resource-constrained environment, there are still no reported application of TOC’s drum-buffer-rope tool and inadequate customizations with regards to defining system-wide goal and performance measures. The “Drum-Buffer-Rope for an Outpatient Cancer Facility” chapter is a real world case study exploring the usefulness of TOC’s drum-buffer-rope scheduling technique in a publicly funded outpatient cancer facility. With the use of a discrete event simulation model populated with historical data, the drum-buffer-rope scheduling policy is compared against “high constraint utilization” and “low wait time” scenarios. Drum-buffer-rope proved to be an effective mechanism in balancing the inherent tradeoff between the two performance measures of instances of delayed treatment and average patient wait time. To find the appropriate level of compromise in one performance measure in favor of the other, the linkage of these measures to system-wide performance measures are proposed. In the “Theory of Constraints’ Performance Measures for Publicly Funded Health Systems” chapter, a system dynamics representation of the classical TOC’s system-wide goal and performance measures for publicly traded for-profit companies is developed, which forms the basis for developing a similar model for publicly funded health systems. The model is then expanded to include some of the factors that affect system performance, providing a framework to apply TOC’s process of ongoing improvement in publicly funded health systems. The “Connecting Low-Level Performance Measures to the Goal” chapter attempts to provide a framework to link the low-level performance measures with system-wide performance measures. It is claimed that until such a linkage is adequately established, TOC has not been fully transferred to publicly funded health systems.Carter, Michael W.2009-062009-09-28T20:25:33ZNO_RESTRICTION2009-09-28T20:25:33Z2009-09-28T20:25:33ZThesishttp://hdl.handle.net/1807/17826en_ca
collection NDLTD
language en_ca
sources NDLTD
topic theory of constraints
publicly funded health systems
system dynamics
performance measure
discrete event simulation
quality adjusted life year
resource allocation
0546
spellingShingle theory of constraints
publicly funded health systems
system dynamics
performance measure
discrete event simulation
quality adjusted life year
resource allocation
0546
Sadat, Somayeh
Theory of Constraints for Publicly Funded Health Systems
description This thesis aims to fill the gaps in the literature of the theory of constraints (TOC) in publicly funded health systems. While TOC seems to be a natural fit for this resource-constrained environment, there are still no reported application of TOC’s drum-buffer-rope tool and inadequate customizations with regards to defining system-wide goal and performance measures. The “Drum-Buffer-Rope for an Outpatient Cancer Facility” chapter is a real world case study exploring the usefulness of TOC’s drum-buffer-rope scheduling technique in a publicly funded outpatient cancer facility. With the use of a discrete event simulation model populated with historical data, the drum-buffer-rope scheduling policy is compared against “high constraint utilization” and “low wait time” scenarios. Drum-buffer-rope proved to be an effective mechanism in balancing the inherent tradeoff between the two performance measures of instances of delayed treatment and average patient wait time. To find the appropriate level of compromise in one performance measure in favor of the other, the linkage of these measures to system-wide performance measures are proposed. In the “Theory of Constraints’ Performance Measures for Publicly Funded Health Systems” chapter, a system dynamics representation of the classical TOC’s system-wide goal and performance measures for publicly traded for-profit companies is developed, which forms the basis for developing a similar model for publicly funded health systems. The model is then expanded to include some of the factors that affect system performance, providing a framework to apply TOC’s process of ongoing improvement in publicly funded health systems. The “Connecting Low-Level Performance Measures to the Goal” chapter attempts to provide a framework to link the low-level performance measures with system-wide performance measures. It is claimed that until such a linkage is adequately established, TOC has not been fully transferred to publicly funded health systems.
author2 Carter, Michael W.
author_facet Carter, Michael W.
Sadat, Somayeh
author Sadat, Somayeh
author_sort Sadat, Somayeh
title Theory of Constraints for Publicly Funded Health Systems
title_short Theory of Constraints for Publicly Funded Health Systems
title_full Theory of Constraints for Publicly Funded Health Systems
title_fullStr Theory of Constraints for Publicly Funded Health Systems
title_full_unstemmed Theory of Constraints for Publicly Funded Health Systems
title_sort theory of constraints for publicly funded health systems
publishDate 2009
url http://hdl.handle.net/1807/17826
work_keys_str_mv AT sadatsomayeh theoryofconstraintsforpubliclyfundedhealthsystems
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