Literature DB >> 20058527

What is a 'generic' hospital model?--a comparison of 'generic' and 'specific' hospital models of emergency patient flows.

Adrian Fletcher1, Dave Worthington.   

Abstract

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.

Entities:  

Mesh:

Year:  2009        PMID: 20058527     DOI: 10.1007/s10729-009-9108-9

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  21 in total

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Authors:  Amir Shmueli; Charles L Sprung; Edward H Kaplan
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Journal:  Health Care Manag Sci       Date:  2001-02

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8.  Dynamics of bed use in accommodating emergency admissions: stochastic simulation model.

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Journal:  BMJ       Date:  1999-07-17

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Journal:  Anaesthesia       Date:  1998-09       Impact factor: 6.955

10.  How many intensive care beds are enough?

Authors:  S V Williams
Journal:  Crit Care Med       Date:  1983-06       Impact factor: 7.598

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  7 in total

1.  A generic simulation model to assess the performance of sterilization services in health establishments.

Authors:  Maria Di Mascolo; Alexia Gouin
Journal:  Health Care Manag Sci       Date:  2012-08-12

2.  Perioperative Mortality Rates in Australian Public Hospitals: The Influence of Age, Gender and Urgency.

Authors:  David A Watters; Wendy J Babidge; Andreas Kiermeier; Glenn A J McCulloch; Guy J Maddern
Journal:  World J Surg       Date:  2016-11       Impact factor: 3.352

3.  Measuring Outcomes of Clinical Care: Victorian Emergency Laparotomy Audit Using Quality Investigator.

Authors:  Claire L Stevens; Christopher Brown; David A K Watters
Journal:  World J Surg       Date:  2018-07       Impact factor: 3.352

Review 4.  A review on the relation between simulation and improvement in hospitals.

Authors:  Wineke Am van Lent; Peter Vanberkel; Wim H van Harten
Journal:  BMC Med Inform Decis Mak       Date:  2012-03-14       Impact factor: 2.796

5.  A generic method for evaluating crowding in the emergency department.

Authors:  Andreas Halgreen Eiset; Mogens Erlandsen; Anders Brøns Møllekær; Julie Mackenhauer; Hans Kirkegaard
Journal:  BMC Emerg Med       Date:  2016-06-14

6.  Decision Support for the Optimization of Provider Staffing for Hospital Emergency Departments with a Queue-Based Approach.

Authors:  Fuu-Cheng Jiang; Cheng-Min Shih; Yun-Ming Wang; Chao-Tung Yang; Yi-Ju Chiang; Cheng-Hung Lee
Journal:  J Clin Med       Date:  2019-12-05       Impact factor: 4.241

Review 7.  Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review.

Authors:  Jesús Isaac Vázquez-Serrano; Rodrigo E Peimbert-García; Leopoldo Eduardo Cárdenas-Barrón
Journal:  Int J Environ Res Public Health       Date:  2021-11-22       Impact factor: 3.390

  7 in total

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