TY - GEN
T1 - Proposal for a Multi-objective Optimization Information System for Referral of Patients from the Emergency Unit
AU - Lastra, L. L.
AU - Bearzotti, Lorena
AU - Forradellas, Raymundo
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper presents a multi-objective modeling process that formulates a system under various constraints so that its performance can be optimized. In this approach, different objectives are formulated individually first and combined with (priority parameters) together into a single objective function that serves as the main part of an optimization problem. Operational constraints are identified to further restrict the solution space into a finite set of feasible solutions that can be searched and evaluated in a reasonable timeframe. The workability of this multi-objective modeling process is demonstrated in the hospital system in Chile where efficiency is modeled under the constraints of operational capability that relies on available supply and the replenishing behavior. The operational data are collected and used as inputs to the modeling process, and the optimized replenishing behavior is determined so that the efficiency of having as many patients as possible under the availability of necessary supplies can be obtained for automating the operational process.
AB - This paper presents a multi-objective modeling process that formulates a system under various constraints so that its performance can be optimized. In this approach, different objectives are formulated individually first and combined with (priority parameters) together into a single objective function that serves as the main part of an optimization problem. Operational constraints are identified to further restrict the solution space into a finite set of feasible solutions that can be searched and evaluated in a reasonable timeframe. The workability of this multi-objective modeling process is demonstrated in the hospital system in Chile where efficiency is modeled under the constraints of operational capability that relies on available supply and the replenishing behavior. The operational data are collected and used as inputs to the modeling process, and the optimized replenishing behavior is determined so that the efficiency of having as many patients as possible under the availability of necessary supplies can be obtained for automating the operational process.
KW - Multi-Objective optimization
KW - emergency unit
KW - healthcare information system
UR - http://www.scopus.com/inward/record.url?scp=85143818092&partnerID=8YFLogxK
U2 - 10.1109/ISMCR56534.2022.9950584
DO - 10.1109/ISMCR56534.2022.9950584
M3 - Conference contribution
AN - SCOPUS:85143818092
T3 - Proceedings - International Symposium on Measurement and Control in Robotics: Robotics and Virtual Tools for a New Era, ISMCR 2022
BT - Proceedings - International Symposium on Measurement and Control in Robotics
A2 - Taqvi, Zafar
A2 - Fuchter, Simone Keller
A2 - Filho, Geraldo Gurgel
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th International Symposium on Measurement and Control in Robotics, ISMCR 2022
Y2 - 28 September 2022 through 30 September 2022
ER -