Towards an Ontology to Support Decision-making in Hospital Bed Allocation (S)
Débora Cristina Engelmann, Júlia Couto, Vágner de Oliveira Gabriel, Renata La Rocca Vieira, Rafael H. Bordini · Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering · 2019
Using advanced technologies is imperative to support quick decision-making in a hospital, where people work with complex and critical processes.An example of a complex and very important task is to make the best decision about in which room and bed a patient should be admitted to hospital, considering the patient needs, characteristics, and available resources.In this case, bad decisions can even compromise patient health.With this study, we aim to facilitate patient-related decisions related to bed allocation, based on an ontology.To do so, we developed an ontology that takes patients' information into account to help health professionals decide where to allocate them.Our main contribution is an ontology, with classes, relationships, individuals, and rules to be used in specific scenarios.Additionally, we exemplify some scenarios in which the rules could be applied.