Literature DB >> 11187595

Simulation to estimate the capacity of a stroke unit.

M Heinrichs1, R Beekman, M Limburg.   

Abstract

Preceding the implementation of a Stroke Unit (SU), data have been collected and used for building a simulation model of patient flow. This model was subsequently used to estimate the optimal capacity of the SU to be implemented. Because stroke patients require acute hospital care, this implies a highly variable number of immediate admissions. This variability complicates optimizing the capacity. In order to support decisions with regard to staffing (i.e. capacity) of the SU, different scenarios are simulated and compared to provide insight in the trade-off between regular understaffing and a low bed occupancy rate. In 1996 the Department of Neurology of the Academic Medical Center in the Netherlands implemented its SU to improve the quality of care for stroke patients. Data collected in the years 1997 and 1998 that the SU has been operational were evaluated and confirm the predictions made from simulating different scenarios. We conclude that simulation models provide a powerful tool for supporting decision making with regard to resource planning at the departmental level in our hospital.

Entities:  

Mesh:

Year:  2000        PMID: 11187595

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

1.  Staffs' and managers' perceptions of how and when discrete event simulation modelling can be used as a decision support in quality improvement: a focus group discussion study at two hospital settings in Sweden.

Authors:  Helena Hvitfeldt-Forsberg; Pamela Mazzocato; Daniel Glaser; Christina Keller; Maria Unbeck
Journal:  BMJ Open       Date:  2017-06-06       Impact factor: 2.692

2.  Implementation of simulation modelling to improve service planning in specialist orthopaedic and neurosurgical outpatient services.

Authors:  Nicole Moretto; Tracy A Comans; Angela T Chang; Shaun P O'Leary; Sonya Osborne; Hannah E Carter; David Smith; Tania Cavanagh; Dean Blond; Maree Raymer
Journal:  Implement Sci       Date:  2019-08-09       Impact factor: 7.327

3.  Optimising acute stroke pathways through flexible use of bed capacity: a computer modelling study.

Authors:  Richard M Wood; Simon J Moss; Ben J Murch; Christos Vasilakis; Philip L Clatworthy
Journal:  BMC Health Serv Res       Date:  2022-08-20       Impact factor: 2.908

4.  Using system dynamics for collaborative design: a case study.

Authors:  Marie Elf; Mariya Putilova; Lena von Koch; Kerstin Ohrn
Journal:  BMC Health Serv Res       Date:  2007-08-02       Impact factor: 2.655

  4 in total

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