Patient mix optimisation and stochastic resource requirements: a case study in cardiothoracic surgery planning.

Cardiothoracic surgery planning involves different resources such as operating theatre time, beds, IC beds and nursing staff. In the daily practice of the Thorax Centre case study setting, the planning focuses on optimal use of operating theatre time, though the performance of the Thorax Centre as a...

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Publicado en:Health Care Management Science Vol. 12; no. 2; pp. 129 - 142
Autores principales: Adan I, Bekkers J, Dellaert N, Vissers J, Yu X, Adan, Ivo, Bekkers, Jos, Dellaert, Nico, Vissers, Jan, Yu, Xiaoting
Formato: case study research Journal Article
Publicado: Springer Nature Jun2009
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2009
      vid: 12
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      pub: Springer Nature
      place: New York, New York
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        atl: Patient mix optimisation and stochastic resource requirements: a case study in cardiothoracic surgery planning.
      aug:
        au:
          Adan I
          Bekkers J
          Dellaert N
          Vissers J
          Yu X
          Adan, Ivo
          Bekkers, Jos
          Dellaert, Nico
          Vissers, Jan
          Yu, Xiaoting
        affil: Department of Mathematics and Computer Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands
      sug:
        subj:
          Health and Welfare Planning Administration
          Cardiac Surgery Methods
          Operating Rooms Administration
          Planning Techniques
          Health Facility Administration
          Length of Stay
          Organizational Efficiency
          Quality of Health Care
          Statistics
          Systems Analysis
          Thoracic Surgery Methods
          Time Factors
          Human
      ab: Cardiothoracic surgery planning involves different resources such as operating theatre time, beds, IC beds and nursing staff. In the daily practice of the Thorax Centre case study setting, the planning focuses on optimal use of operating theatre time, though the performance of the Thorax Centre as a whole is often more limited by other resources. For operating theatres a master surgical schedule is used to allocate operating theatre resources at tactical level for a longer period. Operational schedules at weekly level are derived from this master schedule. Within cardiothoracic surgery different categories of patients can be distinguished based on their requirement of resources. The mix of patients operated is, therefore, an important decision variable for the Thorax Centre to manage the use of these resources. In this paper we will consider the planning problem at the tactical level to generate a master surgical schedule that realises a given target of patient throughput and optimises an objective function for the utilisation of resources. The problem can be mathematically approached by mixed integer linear programming, which we already demonstrated in a previous paper. The specific topic of the current paper is to investigate the influence of using a stochastic instead of a deterministic length of stay. We will discuss the new mathematical model developed for this planning problem. The results obtained by the model indicate that we can generate master surgical schedules with a better performance on target utilization levels of resources by considering the stochastic length of stay.
      pubtype: Academic Journal
      doctype:
        case study
        research
        Journal Article
      ougenre: Article
    language: English
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