A decision support tool for the urgent surgeries assignment problem
Joint Authors
Bouguerra, Afif
Sauvey, Christophe
Sauer, Nathalie
Source
Journal of Engineering Research
Issue
Vol. 8, Issue 2 (30 Jun. 2020), pp.227-250, 24 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2020-06-30
Country of Publication
Kuwait
No. of Pages
24
Main Subjects
Information Technology and Computer Science
Abstract EN
Purpose -in this paper, nonelective patients are assigned in an already existing operating block schedule, both respecting health and cost-efficiency objectives.
design / methodology / approach-we designed and developed assignment strategies, in function of three patient classes : emergent, urgent, and work in case.
the global objectives are both the assignment of the maximal amount of nonelective cases and global operating block overtime cost-efficiency.
findings - the developed strategies have been tested and validated with a 4-operating-room block, with 5 specialties, with a 7-hour regular opening time, 2-hours-allowed overtime, on a 5-day planning horizon.
results show an improvement on both operating rooms capacity filling and supplementary hours overruns limitation.
research implications - strategies are independent on the benchmark test values.
they are adapted to 3 patient classes, and on the objectives aimed for each class.
practical implications-the decision support tool has been developed with and validated by a west european hospital surgical team.
the strategies can be adopted by any other comparable hospital block.
social implications-developing the here presented strategies in developed countries hospitals could help them limit their health care budget overruns.
originality / value-scientific results obtained are twofold.
firstly, all proposed strategies have been validated and show effectiveness and relevancy for the addressed problem, in real time conditions.secondly, the tool also assesses, for a given operating block, with a given provisional schedule, the number of nonelective surgeries that can be accommodated.
American Psychological Association (APA)
Bouguerra, Afif& Sauvey, Christophe& Sauer, Nathalie. 2020. A decision support tool for the urgent surgeries assignment problem. Journal of Engineering Research،Vol. 8, no. 2, pp.227-250.
https://search.emarefa.net/detail/BIM-1494953
Modern Language Association (MLA)
Bouguerra, Afif…[et al.]. A decision support tool for the urgent surgeries assignment problem. Journal of Engineering Research Vol. 8, no. 2 (Jun. 2020), pp.227-250.
https://search.emarefa.net/detail/BIM-1494953
American Medical Association (AMA)
Bouguerra, Afif& Sauvey, Christophe& Sauer, Nathalie. A decision support tool for the urgent surgeries assignment problem. Journal of Engineering Research. 2020. Vol. 8, no. 2, pp.227-250.
https://search.emarefa.net/detail/BIM-1494953
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 250
Record ID
BIM-1494953