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Patient mix optimisation for inpatient planning with multiple resources

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Date
2012
Dewey
Recherche opérationnelle
Sujet
admission planning; operating theatre planning; patient mix; resource allocation; integer linear programming; simulation
DOI
http://dx.doi.org/10.1007/978-88-470-2321-5_13
Book title
Advanced Decision Making Methods Applied to Health Care
Author
Elena Tànfani, Angela Testi
Publisher
Springer
Publisher city
Berlin Heidelberg
Year
2012
ISBN
978-88-470-2320-8
Book URL
10.1007/978-88-470-2321-5
URI
https://basepub.dauphine.fr/handle/123456789/15583
Collections
  • LAMSADE : Publications
Metadata
Show full item record
Author
Vissers, Jan
status unknown
Bekkers, Jos
108657 Erasmus University Rotterdam
Jeunet, Jully
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Dellaert, Nico
5867 Department of Operations Management
Adan, Ivo
238519 Department of mathematics and computing science [Eindhoven]
Type
Chapitre d'ouvrage
Item number of pages
213-236
Abstract (EN)
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.

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