Literature DB >> 19773493

Understanding target-driven action in emergency department performance using simulation.

M M Günal1, M Pidd.   

Abstract

Many computer simulation models of emergency departments have been developed to aid clinicians and managers to maintain and improve the performance of their departments. A model is presented that can also be used to understand changes in performance that may occur as a result of the 4-hour target regime in the English NHS. The model simulates the performance resulting from normal activity, and the differences between this and actual performance are revealing. The results from two departments are presented to demonstrate this mode of model use. These reveal the extent of special action taken in some emergency departments as patients approach the target time, and also show the true underlying performance of the departments.

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Year:  2009        PMID: 19773493     DOI: 10.1136/emj.2008.066969

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  4 in total

Review 1.  Patient flow within UK emergency departments: a systematic review of the use of computer simulation modelling methods.

Authors:  Syed Mohiuddin; John Busby; Jelena Savović; Alison Richards; Kate Northstone; William Hollingworth; Jenny L Donovan; Christos Vasilakis
Journal:  BMJ Open       Date:  2017-05-09       Impact factor: 2.692

2.  Operational research as implementation science: definitions, challenges and research priorities.

Authors:  Thomas Monks
Journal:  Implement Sci       Date:  2016-06-06       Impact factor: 7.327

3.  A modelling tool for capacity planning in acute and community stroke services.

Authors:  Thomas Monks; David Worthington; Michael Allen; Martin Pitt; Ken Stein; Martin A James
Journal:  BMC Health Serv Res       Date:  2016-09-29       Impact factor: 2.655

4.  Modelling self-management pathways for people with diabetes in primary care.

Authors:  Marion L Penn; Anne P Kennedy; Ivaylo I Vassilev; Carolyn A Chew-Graham; Joanne Protheroe; Anne Rogers; Tom Monks
Journal:  BMC Fam Pract       Date:  2015-09-02       Impact factor: 2.497

  4 in total

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