A framework to accelerate simulation studies of hyperacute stroke systems
A framework to accelerate simulation studies of hyperacute stroke systems
 
  Stroke care has been identified as an area where operations research has great potential. In recent years there has been a small but sustained stream of discrete-event simulation case studies in modelling hyperacute stroke systems. The nature of such case studies has led to a fragmented knowledge base and high entry cost to stroke modelling research. Two common issues have faced researchers in stroke care: understanding the logistics and clinical aspects of stroke care and moving from these findings to an appropriately detailed model. We aim to accelerate studies in this area by introducing a conceptual modelling framework that is domain specific for stroke. A domain specific framework trades-off the wide applicability of a general framework against increased efficiency and reuse to support modelling in the problem domain. This compromise is appropriate when the problem domain is complex, of high value to society, and where the saving in future modelling effort is likely to be greater than the effort to create the framework. We detail the requirements of a domain specific conceptual model and then provide domain specific knowledge to support modellers in gaining an understanding of the problem situation, translating this knowledge into selected model outputs, inputs and content in the case of hyperacute stroke. We illustrate the use of the framework with an example based at a large hospital in the United Kingdom.
  Stroke, Modelling framework, Simulation, Reuse
  
  
    
      Monks, Thomas
      
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      Van der Zee, Durk-Jouke
      
        c9e5df5b-502c-4209-a10a-f42ca7b61a33
      
     
  
    
      Lahr, Maarten M.H
      
        bb414b65-2e56-48b4-922b-209e63d29a89
      
     
  
    
      Pearn, Kerry
      
        378600fc-7eaf-4667-a1f0-8bc6df773810
      
     
  
    
      James, Martin A.
      
        b77536bf-9471-436c-a95e-c921e4f90f5a
      
     
  
    
      Buskens, Erik
      
        8c931b70-d453-4416-a78f-a281c3000b84
      
     
  
    
      Luijckx, Gert-Jan
      
        51af1e7b-bee6-459c-9ca6-852eab2df11a
      
     
  
  
   
  
  
    
    
  
    
    
  
  
    
      Monks, Thomas
      
        fece343c-106d-461d-a1dd-71c1772627ca
      
     
  
    
      Van der Zee, Durk-Jouke
      
        c9e5df5b-502c-4209-a10a-f42ca7b61a33
      
     
  
    
      Lahr, Maarten M.H
      
        bb414b65-2e56-48b4-922b-209e63d29a89
      
     
  
    
      Pearn, Kerry
      
        378600fc-7eaf-4667-a1f0-8bc6df773810
      
     
  
    
      James, Martin A.
      
        b77536bf-9471-436c-a95e-c921e4f90f5a
      
     
  
    
      Buskens, Erik
      
        8c931b70-d453-4416-a78f-a281c3000b84
      
     
  
    
      Luijckx, Gert-Jan
      
        51af1e7b-bee6-459c-9ca6-852eab2df11a
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    Monks, Thomas, Van der Zee, Durk-Jouke, Lahr, Maarten M.H, Pearn, Kerry, James, Martin A., Buskens, Erik and Luijckx, Gert-Jan
  
  
  
  
   
    (2017)
  
  
    
    A framework to accelerate simulation studies of hyperacute stroke systems.
  
  
  
  
    Operations Research for Health Care.
  
   (doi:10.1016/j.orhc.2017.09.002). 
  
  
   
  
  
  
  
  
   
  
    
    
      
        
          Abstract
          Stroke care has been identified as an area where operations research has great potential. In recent years there has been a small but sustained stream of discrete-event simulation case studies in modelling hyperacute stroke systems. The nature of such case studies has led to a fragmented knowledge base and high entry cost to stroke modelling research. Two common issues have faced researchers in stroke care: understanding the logistics and clinical aspects of stroke care and moving from these findings to an appropriately detailed model. We aim to accelerate studies in this area by introducing a conceptual modelling framework that is domain specific for stroke. A domain specific framework trades-off the wide applicability of a general framework against increased efficiency and reuse to support modelling in the problem domain. This compromise is appropriate when the problem domain is complex, of high value to society, and where the saving in future modelling effort is likely to be greater than the effort to create the framework. We detail the requirements of a domain specific conceptual model and then provide domain specific knowledge to support modellers in gaining an understanding of the problem situation, translating this knowledge into selected model outputs, inputs and content in the case of hyperacute stroke. We illustrate the use of the framework with an example based at a large hospital in the United Kingdom.
         
      
      
        
          
            
  
    Text
 1-s2.0-S2211692317300127-main
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      Accepted/In Press date: 15 September 2017
 
    
      e-pub ahead of print date: 21 September 2017
 
    
  
  
    
  
    
  
    
  
    
  
    
  
    
     
        Keywords:
        Stroke, Modelling framework, Simulation, Reuse
      
    
  
    
  
    
  
  
  
    
  
  
        Identifiers
        Local EPrints ID: 415203
        URI: http://eprints.soton.ac.uk/id/eprint/415203
        
          
        
        
        
        
          PURE UUID: 8c0e2ec0-ef88-43a7-adaa-0f533cebb5bd
        
  
    
        
          
            
              
            
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
  
  Catalogue record
  Date deposited: 02 Nov 2017 17:30
  Last modified: 15 Mar 2024 16:36
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      Contributors
      
          
          Author:
          
            
              
              
                Thomas Monks
              
              
                 
              
            
            
          
         
      
          
          Author:
          
            
            
              Durk-Jouke Van der Zee
            
          
        
      
          
          Author:
          
            
            
              Maarten M.H Lahr
            
          
        
      
          
          Author:
          
            
            
              Kerry Pearn
            
          
        
      
          
          Author:
          
            
            
              Martin A. James
            
          
        
      
          
          Author:
          
            
            
              Erik Buskens
            
          
        
      
          
          Author:
          
            
            
              Gert-Jan Luijckx
            
          
        
      
      
      
    
  
   
  
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