Sistema para a otimização do escalonamento do bloco operatório

• Autor(a) principal: Coelho, Diogo Fernando Ferreira
• Data de Publicação: 2021
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.22/19342
• topic: Supervised Learning; Surgery Scheduling; Hyper-Parameter Optimization; General Population Surgery

Proper distribution and utilization of operating rooms is one of the biggest factors when combating the ever growing waiting lists for surgical interventions. In this ecosystem, the incorrect prediction of a procedure’s duration will imply the remaining scheduled procedures, further more when this prediction is an underestimation. This problem is is exacerbated by the sheer amount of different interventions with their specificities and conditions. Tackling this question, we developed an application running along side the main surgery schedule of Centro Hospitalar de São João, in charge of applying regression algorithms to better calculate the expected surgery duration. With these, we were able to apply a scheduling algorithm that produces a viable surgery table. Our final implementation was able to work independently of human interaction, producing a possible alternative to the manual methods common on these situations.