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https://hdl.handle.net/1822/89771
Título: | Optimization of surgery scheduling problems based on prescriptive analytics |
Autor(es): | Lopes, João Vieira, Gonçalo Veloso, Rita Ferreira, Susana Salazar, Maria Santos, Manuel |
Palavras-chave: | Prescriptive analytics Surgery scheduling problems |
Data: | Jun-2023 |
Editora: | SCITEPRESS – Science and Technology Publications |
Citação: | Lopes, J.; Vieira, G.; Veloso, R.; Ferreira, S.; Salazar, M. and Santos, M. (2023). Optimization of Surgery Scheduling Problems Based on Prescriptive Analytics. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-664-4; ISSN 2184-285X, SciTePress, pages 474-479. DOI: 10.5220/0012131700003541 |
Resumo(s): | Surgery scheduling plays a crucial role in modern healthcare systems, ensuring efficient use of resources, minimising patient waiting times and improving organisations’ operational performance. Additionally, healthcare faces enormous challenges, with a general modernisation of all clinical and administrative processes expected, requiring organisations to keep up with the latest advances in Information Technology. The scheduling of surgeries is a crucial sector for the good functioning of hospitals, and the management of waiting lists is directly related to this process, which has seen the COVID-19 pandemic cause a significant increase in waiting times in some specialities. Surgery scheduling is considered a highly complex problem, influenced by numerous factors such as resource availability, operating shifts, patient priorities and scheduling restrictions, putting significant challenges to healthcare providers. In this research, in collaboration with one of the leading hospitals in P ortugal, the Centro Hospitalar Universitário de Santo António (CHUdSA), we propose an approach based on Prescriptive Analytics, using optimisation algorithms to evaluate their performance in the management of the operating room. The results allow identifying the feasibility of this approach, taking into account the number of surgeries to be scheduled and surgical spaces in a time perspective, prevailing the priority of each surgery in the waiting list. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/89771 |
ISBN: | 978-989-758-664-4 |
DOI: | 10.5220/0012131700003541 |
ISSN: | 2184-285X |
Versão da editora: | https://www.scitepress.org/PublicationsDetail.aspx?ID=hy04Cua6f3U=&t=1 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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121317.pdf | 380,29 kB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons