| Issue |
MATEC Web Conf.
Volume 281, 2019
International Conference of Engineering Risk (INCER 2019)
|
|
|---|---|---|
| Article Number | 05004 | |
| Number of page(s) | 9 | |
| Section | Data Uncertainty and Security | |
| DOI | https://doi.org/10.1051/matecconf/201928105004 | |
| Published online | 21 May 2019 | |
Operating Room Management System: Patient Programming.
1 University of Bourgogne Franche Comté (France) and Lebanese University, Lebanon
2 Lebanese University, Faculty of Technology- SAIDA, Lebanon
3 University of Bourgogne Franche Comté (France)
* BOU SALEH Bilal: bousalehbilal@gmail.com EL MOUDNI Abdellah : abdellah.el-moudni@utbm.fr CHAHAL Lina: linachahal@ul.edu.lb BARAKAT Oussama: oussama.barakat@univ-fcomte.fr BOU SALEH Ghazi : gbousaleh@ul.edu.lb
The Operating Theater (OT) is one of the most critical and expensive hospital resources since a high percentage of hospitalizations are due to surgery. The main objectives are to perform the operation at the right time without incurring excessive waiting times and to optimize the use of medical resources in order to achieve maximum profitability. Management problems in the (OT) have been identified with well-known problems in the field of manufacturing or transport. This prompted us to look for a model used in industrial applications that would allow us to solve the problems of (OT) process as a whole.
We first present the hybrid architectural concepts and the development of the control system for the management of the operating room process in its entirety. We then describe the patient programming function and the associated module algorithm based on distributed artificial intelligence.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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