Towards an Ontology to Support Decision-making in Hospital Bed Allocation (S)

Abstract

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.Index Terms-Ontology, health care, hospital bed allocation.

Explaining Semantic Reasoning Using Argumentation

“…In this paper, we use a scenario of bed allocation in hospitals, based on the work reported in [10,11,8,12], in order to exemplify how we have built our approach for explaining semantic reasoning using argumentation. Bed allocation is a challenge hospitals face since hospital beds are scarce, and when poorly managed, it can generate long lines and chaos in emergency rooms [19].…”

Ontology-Driven Multicriteria Decision Support for Victim Evacuation

“…As concern the availability of resources, the SAVE model focuses only on hospital capacity in terms of the number of unoccupied beds. Engelmann et al (2019) propose an ontology that can be used to support the process of determining to which hospitals patients will be allocated. The ontology focuses only on bed availability and it is not evaluated nor used in any real-world scenarios. )…”