• xmlui.mirage2.page-structure.header.title
    • français
    • English
  • Help
  • Login
  • Language 
    • Français
    • English
View Item 
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesTypeThis CollectionBy Issue DateAuthorsTitlesType

My Account

LoginRegister

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors
Thumbnail

Hospital admission planning to optimize major resources utilization under uncertainty

Dellaert, Nico; Jeunet, Jully (2009), Hospital admission planning to optimize major resources utilization under uncertainty, European Institute for Statistics, Probability, Stochastic Operations Research and their Applications (EURANDOM). https://basepub.dauphine.fr/handle/123456789/16574

View/Open
jeunet_hospital.pdf (922.0Kb)
Type
Rapport
Date
2009
Publisher
European Institute for Statistics, Probability, Stochastic Operations Research and their Applications (EURANDOM)
Metadata
Show full item record
Author(s)
Dellaert, Nico
Technische Universiteit Eindhoven
Jeunet, Jully
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
Admission policies for elective inpatient services mainly result in the management of a single resource: the operating theatre as it is commonly considered as the most critical and expensive resource in a hospital. However, other bottleneck resources may lead to surgery cancellations, such as bed capacity and nursing staff in Intensive Care (IC) units and bed occupancy in wards or medium care (MC) services. Our incentive is therefore to determine a master schedule of a given number of patients that are divided in several homogeneous categories in terms of the utilization of each resource: operating theatre, IC beds, IC nursing hours and MC beds. The objective is to minimize the weighted deviations of the resource use from their targets and probabilistic lengths of stay in each unit (IC and MC) are considered. We use a Mixed Integer Program model to determine the best admission policy. The resulting admission policy is a tactical plan, as it is based upon the expected number of patients with their expected characteristics. On the operational level, this tactical plan must be adapted to account for the actual arriving number of patients in each category. We develop several strategies to build an operational schedule that leansupon the tactical plan more or less closely. The strategies result from the combination of several options to create a feasible operational schedule from the tactical plan: over planning, flexibility in selecting the patient groups to be operated and updating the tactical plan. The strategies were tested on real data from a Thoracic Surgery Centre over a 10-year simulation horizon. The performance was assessed by the average waiting time for patients, the weighted target deviations and some indicators of the plan changes between the tactical plan and the operational schedule.Simulation results show that the best strategies include over planning, a limited flexibility and infrequent updates of the tactical plan.
Subjects / Keywords
integer linear programming; intensive and medium care resources allocation; operation theatre planning; patient mix; tactical plan; operational schedule

Related items

Showing items related by title and author.

  • Thumbnail
    Hospital admission planning to optimize major resources utilization under uncertainty 
    Dellaert, Nico; Jeunet, Jully (2008) Communication / Conférence
  • Thumbnail
    LINKING IMPROVED SURGERY TACTICAL PLANS TO ELECTIVE AND EMERGENCY PATIENT SERVICE: ANALYTICAL METHODS TO COMPUTE EXACT DISTRIBUTIONS FOR WAITING TIME AND RESOURCES UTILIZATION 
    Jeunet, Jully; Dellaert, Nico (2011) Communication / Conférence
  • Thumbnail
    Dominant strategies to reduce patient waiting time under multiple constrained resources 
    Dellaert, Nico; Jeunet, Jully (2016) Article accepté pour publication ou publié
  • Thumbnail
    A variable neighbourhood search algorithm for the hospital case mix planning problem 
    Dellaert, Nico; Jeunet, Jully (2013) Communication / Conférence
  • Thumbnail
    Assessing and controlling the impact of hospital capacity planning on the waiting time 
    Dellaert, Nico; Cayiroglu, Ezgi; Jeunet, Jully (2016) Article accepté pour publication ou publié
Dauphine PSL Bibliothèque logo
Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16
Phone: 01 44 05 40 94
Contact
Dauphine PSL logoEQUIS logoCreative Commons logo