An application of simulation to analyse resource sharing among health‐care organisations

Pasin, Fédérico; Jobin, Marie‐Hélène; Cordeau, Jean‐François

doi:10.1108/01443570210420395

Cited by 26 publications

(21 citation statements)

References 11 publications

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“…Such a pooling of resources is a well-known operations management technique to improve system performance in the face of variable demand across facilities. For example, Pasin et al [6] used simulation to demonstrate that pooling of equipment across community healthcare service centers would reduce unit costs while maintaining current service levels. As the initial step in the research described here, faculty from the University of Calgary were invited to help evaluate designs for new facilities.…”

Section: Calgary Laboratory Servicesmentioning

confidence: 99%

Modeling patient service centers with simulation and system dynamics

Rohleder

Bischak

Baskin

2006

Health Care Manage Sci

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We report on the use of simulation modeling for redesigning phlebotomy and specimen collection centers (or patient service centers) at a medical diagnostic laboratory. Research was performed in an effort to improve patient service, in particular to reduce average waiting times as well as their variability. Discrete-event simulation modeling provided valuable input into new facility design decisions and showed the efficacy of pooling sources of variation, particularly patient demand and service times. Initial performance of the redesigned facilities was positive; however, dynamic feedback within the system of service centers eventually resulted in unanticipated performance problems. We show how a system dynamics model might have helped predict these implementation problems and suggest some ways to improve results.

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Section: Calgary Laboratory Servicesmentioning

confidence: 99%

Modeling patient service centers with simulation and system dynamics

Rohleder

Bischak

Baskin

2006

Health Care Manage Sci

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“…Medical and paramedical equipment and information technology equipment can be involved in providing home care [34]. Sharing resources among multiple districts may induce cost savings [332]. Fleet vehicles.…”

Section: Service MIXmentioning

confidence: 99%

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

et al. 2012

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We provide 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. The contribution of this paper is twofold. First, to position the planning decisions, a taxonomy is presented. This taxonomy provides health care managers and OR/MS researchers with a method to identify, break down and classify planning and control decisions. Second, following the taxonomy, for six health care services, we provide an exhaustive specification of planning and control decisions in resource capacity planning and control. For each planning and control decision, we structurally review the key OR/MS articles and the OR/MS methods and techniques that are applied in the literature to support decision making.

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“…While some existing research has emphasized the benefits of health care resource pooling in low-resource settings (Karsten, Slikker, & van Houtum, 2015; Pasin, Jobin, & Cordeau, 2002), applied examples of such sharing remain sparse and generally focus on macro-scale, cross-border care arrangements between public health systems (Galan, Olsavszky, & Vlădescu, 2013; Glinos & Baeten, 2014). These cross-border care examples lack consideration of the competitive nature of private health care.…”

Section: Discussionmentioning

confidence: 99%

A challenging entanglement: health care providers’ perspectives on caring for ill and injured tourists on Cozumel Island, Mexico

Hoffman

Crooks

Snyder

2018

International Journal of Qualitative Studies on Health and Well

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Purpose: Despite established knowledge that tourists often fall ill or are injured abroad, little is known about their treatment. The intent of this study was to explore health care professionals’ treatment provision experiences on Cozumel Island, Mexico. Methods: 13 semi-structured interviews were undertaken with professionals across a number of health care vocations on Cozumel Island. Interviews were transcribed and thematically analysed to determine common challenges faced in the provision of treatment for transnational tourists. Results: Three thematic challenges emerged from the data: human and physical resource deficiencies, medical (mis)perceptions held by patients and complexities surrounding remuneration of care. Health care providers employ unique strategies to mitigate these challenges. Conclusion: Although many of these challenges exist within other touristic and peripheral spaces, we suggest that the challenges experienced by Cozumel Island’s health care professionals, and their mitigation strategies, exist as part of a complex entanglement between the island’s health care sector and its dominant tourism landscape. We call on tangential tourism services to take a larger role in ensuring the ease of access to, and provision of quality health care services for tourists on Cozumel Island.

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An application of simulation to analyse resource sharing among health‐care organisations

Cited by 26 publications

References 11 publications

Modeling patient service centers with simulation and system dynamics

Modeling patient service centers with simulation and system dynamics

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

A challenging entanglement: health care providers’ perspectives on caring for ill and injured tourists on Cozumel Island, Mexico

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