Adaptive Planning of Staffing Levels in Health Care Organisations

  • Harini Kulatunga
  • W. J. Knottenbelt
  • V. Kadirkamanathan
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 27)


This paper presents a new technique to adaptively measure the current performance levels of a health system and based on these decide on optimal resource allocation strategies. Here we address the specific problem of staff scheduling in real-time in order to improve patient satisfaction by dynamically predicting and controlling waiting times by adjusting staffing levels. We consider the cost of operation (which comprises staff cost and penalties for patients waiting in the system) and aim to simultaneously minimise the accumulated cost over a finite time period. A considerable body of research has shown the usefulness of queueing theory in modelling processes and resources in real-world health care situations. This paper will develop a simple queueing model of patients arriving at an Accident and Emergency unit and show how this technique provides a dynamic staff scheduling strategy that optimises the cost of operating the facility.


Adaptive staff scheduling staffing cost minimisation integrated health care systems 


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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2010

Authors and Affiliations

  • Harini Kulatunga
    • 1
  • W. J. Knottenbelt
    • 1
  • V. Kadirkamanathan
    • 2
  1. 1.Department of ComputingImperial College LondonLondonUnited Kingdom
  2. 2.Department of Automatic Control and Systems EngineeringUniversity of SheffieldSheffieldUnited Kingdom

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