Strategic territorial deployment of hospital pharmacy robots using a stochastic p-robust optimization approach
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 medi...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/24249
- Acceso en línea:
- https://doi.org/10.1109/COASE.2018.8560374
https://repository.urosario.edu.co/handle/10336/24249
- Palabra clave:
- Automation
Hospitals
Optimization
Quality of service
Stochastic systems
Centralized distribution
Medication errors
New mathematical model
Quality of care
Robust optimization
Medicine
- Rights
- License
- http://purl.org/coar/access_right/c_abf2
| Summary: | 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. © 2018 IEEE. |
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