Optimization Models for Medical Procedures Relocation.
Procedia Comput Sci
; 192: 2058-2067, 2021.
Article
in English
| MEDLINE | ID: covidwho-2300894
ABSTRACT
As a side-effect of the Covid-19 pandemic, significant decreases in medical procedures for noncommunicable diseases have been observed. This calls for a decision support assisting in the analysis of opportunities to relocate procedures among hospitals in an efficient or, preferably, optimal manner. In the current paper we formulate corresponding decision problems and develop linear (mixed integer) programming models for them. Since solving mixed integer programming problems is NP-complete, we verify experimentally their usefulness using real-world data about urological procedures. We show that even for large models, with millions of variables, the problems' instances are solved in perfectly acceptable time.
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Database:
MEDLINE
Language:
English
Journal:
Procedia Comput Sci
Year:
2021
Document Type:
Article
Affiliation country:
J.procs.2021.08.212
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