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Difference between revisions of "IS480 Team wiki: 2014T1 Code Blue"

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The emergency department is often seen as a place with long waiting times and lack of doctors to serve the patients.
 
The emergency department is often seen as a place with long waiting times and lack of doctors to serve the patients.
More than 50% of the patients whom visit are non-critical and as a result,waiting time goes as long as 2-3 hours.Furthermore,the current FIFO and LIFO queue management systems do not work because patients can re-enter the queue after medical tests, thus have higher priority than individuals in front.
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More than 50% of the patients whom visit are non-critical and as a result,waiting time goes as long as 2-3 hours.Furthermore,the current FIFO and LIFO queue management systems do not work because patients can re-enter the queue after medical tests, thus having higher priority than individuals in front.
  
 
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Code Blue will be developing dynamic priority queue simulation system which dispatches patients to consultation with doctors.The model,proposed by Tan Kar Way in her PHD paper,is effective in reducing patient's length of stay and hence improving patient flow.This simulation system will aid to persuade various hospitals that this model does work and solves the problem EDs have been facing all along.
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The goal of this project is to develop a simulation tool which provides a graphical visualization of a dynamic queue management framework for the hospitals’ emergency department (ED). The framework makes use of several queuing theory algorithm such as Shortest Job First or Shortest Remaining Time First to improve on patients’ length of stay in the ED. The research work is largely based on the dissertation of our faculty member, Assistant Professor (Practice) Tan Kar Way.This simulation system will aid to persuade various hospitals the feasibility of this model.
 
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<h3>ITERATION 0 </H3>  
 
<h3>ITERATION 0 </H3>  
  

Revision as of 23:17, 8 June 2014

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The emergency department is often seen as a place with long waiting times and lack of doctors to serve the patients. More than 50% of the patients whom visit are non-critical and as a result,waiting time goes as long as 2-3 hours.Furthermore,the current FIFO and LIFO queue management systems do not work because patients can re-enter the queue after medical tests, thus having higher priority than individuals in front.

The goal of this project is to develop a simulation tool which provides a graphical visualization of a dynamic queue management framework for the hospitals’ emergency department (ED). The framework makes use of several queuing theory algorithm such as Shortest Job First or Shortest Remaining Time First to improve on patients’ length of stay in the ED. The research work is largely based on the dissertation of our faculty member, Assistant Professor (Practice) Tan Kar Way.This simulation system will aid to persuade various hospitals the feasibility of this model.





ITERATION 0

Pre-development/Requirements gathering