RT Journal Article
T1 Effective optimisation of the patient circuits of an oncology day hospital: Mathematical programming models and case study
A1 González Maestro, Adrián
A1 Brozos Vázquez, Miguel
A1 Casas Méndez, Balbina
A1 López López, Rafael
A1 López Rodríguez, Rosa
A1 Reyes Santías, Francisco
K1 Treatment schedules
K1 Medical appointment scheduling
K1 Integer linear programming
K1 Stochastic programming
K1 Nurse assignment
K1 Case study
AB In this paper, we first use the information we have on the patients of an oncology day hospital to distribute the treatment schedules they have in each of the visits to this centre. To do this, we propose a deterministic mathematical programming model in such a way that we minimise the duration of the waiting room stays of the total set of patients and taking into account the restrictions of the circuit. Secondly, we will look for a solution to the same problem under a stochastic approach. This model will explicitly consider the existing uncertainty in terms of the different times involved in the circuit, and this model also allows the reorganisation of the schedules of medical appointments with oncologists. The models are complemented by a tool that solves the problem of assigning nurses to patients. The work is motivated by the particular characteristics of a real hospital and the models are used and compared with data from this case.
PB MDPI
SN 2227-7390
YR 2022
FD 2022
LK http://hdl.handle.net/10347/31958
UL http://hdl.handle.net/10347/31958
LA eng
NO González-Maestro, A.; Brozos-Vázquez, E.; Casas-Méndez, B.; López-López, R.; López-Rodríguez, R.; Reyes-Santias, F. Effective Optimisation of the Patient Circuits of an Oncology Day Hospital: Mathematical Programming Models and Case Study. Mathematics 2022, 10, 62
NO This research has been funded by the ERDF, the Government of Spain/AEI [grant MTM2017-87197-C3-3-P] and the Xunta de Galicia [Grupos de Referencia Competitiva ED431C2017/38, and ED431C2021/24].
DS Minerva
RD 24 abr 2026