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Patient mix optimisation for inpatient planning with multiple resources

In: Advanced Decision Making Methods Applied to Health Care

Author

Listed:
  • Jan Vissers

    (Erasmus University Rotterdam)

  • Ivo Adan

    (Eindhoven University of Technology)

  • Nico Dellaert

    (Eindhoven University of Technology)

  • Jully Jeunet

    (Université Paris Dauphine)

  • Jos Bekkers

    (Erasmus University Medical Centre)

Abstract

This contribution addresses the planning of admissions of surgical patients, requiring different resources such as beds and nursing capacity at wards, operating rooms and operating theatre personnel at an operating theatre, intensive care beds and intensive care nursing capacity at an intensive care ward. We developed a modelling approach for this planning problem, starting from a very simplified base model with deterministic resource requirements only for elective patients to a model with also stochastic resource requirements and finally a model extended to emergency patients. We developed the consecutive models over a period of 6 years together with a cardiothoracic surgeon who acted as problem owner and user of the model in healthcare practice. Each of the steps taken in the development of the models provided new insights and added to the knowledge of the planning problem and approach. We present the steps taken and the models developed, show the results obtained and the lessons learned.

Suggested Citation

  • Jan Vissers & Ivo Adan & Nico Dellaert & Jully Jeunet & Jos Bekkers, 2012. "Patient mix optimisation for inpatient planning with multiple resources," International Series in Operations Research & Management Science, in: Elena Tànfani & Angela Testi (ed.), Advanced Decision Making Methods Applied to Health Care, chapter 0, pages 213-236, Springer.
    • Handle: RePEc:spr:isochp:978-88-470-2321-5_13
    DOI: 10.1007/978-88-470-2321-5_13
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