Patient mix optimisation for inpatient planning with multiple resources

Jan Vissers (), Ivo Adan (), Nico Dellaert (), Jully Jeunet () and Jos Bekkers ()
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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

Chapter Chapter 13 in Advanced Decision Making Methods Applied to Health Care, 2012, pp 213-236 from Springer

Abstract: 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.

Keywords: admission planning; operating theatre planning; patient mix; resource allocation; integer linear programming; simulation (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/978-88-470-2321-5_13

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