Strategic territorial deployment of hospital pharmacy robots using a stochastic p-robust optimization approach

Resultado de la investigación: Tipos de Contribuciónes en ConferenciaPaper

Resumen

Automation in healthcare is a major challenge to improve quality of service while compressing costs. In particular, correct administration of medicines to patients is crucial to ensure quality of care during hospitalization and minimize medication errors. Mistakes are more likely to happen when medicine administration is done manually (dispensing, ordering or administrating). To reduce the risks related to medication errors, automation of the pharmacy processes appears as an appropriately tool to solve this situation. In this paper, we have proposed a new mathematical model to optimize the processes related to unit-doses management and prescriptions preparation in a network of hospitals. To model the uncertainty associated with the demand of medicines, the concept of p-robustness is included; the concept of resilience is also considered to model the risk of centralized distribution processes
Idioma originalSpanish (Colombia)
DOI
EstadoPublished - oct 24 2018
Evento2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) - munich, Munich
Duración: ago 17 2018ago 20 2018

Conference

Conference2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)
PaísGermany
CiudadMunich
Período8/17/188/20/18

Citar esto

Franco Franco, C. A. (2018). Strategic territorial deployment of hospital pharmacy robots using a stochastic p-robust optimization approach. Papel presentado en 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), Munich, . https://doi.org/DOI:10.1109/coase.2018.8560374
Franco Franco, Carlos Alberto. / Strategic territorial deployment of hospital pharmacy robots using a stochastic p-robust optimization approach. Papel presentado en 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), Munich, .
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Strategic territorial deployment of hospital pharmacy robots using a stochastic p-robust optimization approach. / Franco Franco, Carlos Alberto.

2018. Papel presentado en 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), Munich, .

Resultado de la investigación: Tipos de Contribuciónes en ConferenciaPaper

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AB - Automation in healthcare is a major challenge to improve quality of service while compressing costs. In particular, correct administration of medicines to patients is crucial to ensure quality of care during hospitalization and minimize medication errors. Mistakes are more likely to happen when medicine administration is done manually (dispensing, ordering or administrating). To reduce the risks related to medication errors, automation of the pharmacy processes appears as an appropriately tool to solve this situation. In this paper, we have proposed a new mathematical model to optimize the processes related to unit-doses management and prescriptions preparation in a network of hospitals. To model the uncertainty associated with the demand of medicines, the concept of p-robustness is included; the concept of resilience is also considered to model the risk of centralized distribution processes

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Franco Franco CA. Strategic territorial deployment of hospital pharmacy robots using a stochastic p-robust optimization approach. 2018. Papel presentado en 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), Munich, . https://doi.org/DOI:10.1109/coase.2018.8560374