FEATURESA Hospital Bed Allocation Hybrid Model Based on Situation AwarenessGrübler, Murillo da Silveira MSc; da Costa, Cristiano André PhD; Righi, Rodrigo da Rosa PhD; Rigo, Sandro José PhD; Chiwiacowsky, Leonardo Dagnino PhDAuthor Information Author Affiliations: Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos-Unisinos (Mr Grübler and Drs da Costa, Righi, and Rigo), São Leopoldo; and Production Engineering Program, Universidade de Caxias do Sul (Dr Chiwiacowsky), Caxias do Sul, Brazil. This study was approved by the research ethics committee of Unisinos University and Mãe de Deus Hospital. The authors also confirm that this article is unique and not under consideration or published in any other publication, and that they have permission from rights holders to reproduce any copyrighted material. The authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article. Corresponding author: Cristiano André da Costa, PhD, Programa de Pós-Graduação em Computação Aplicada, Universidade do Vale do Rio dos Sinos, Av Unisinos 950, 93022-000 São Leopoldo RS, Brazil ([email protected]). Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s Web site (www.cinjournal.com). CIN: Computers, Informatics, Nursing: May 2018 - Volume 36 - Issue 5 - p 249-255 doi: 10.1097/CIN.0000000000000421 Buy SDC Metrics Abstract Bed management is an important area of planning and control for hospitals, as it has the important role of maintaining the balance between patients from the emergency department, patients who have elective surgery or scheduled treatment, and patients who are discharged from the hospital, while maintaining high bed occupancy rates. Effective management of these resources has always been a challenge for managers. In the 1980s and 1990s, thousands of patients had operations canceled due to nonmedical reasons. Due to the constant uncertainty experienced by hospitals today, use of the cognitive model known as situation awareness has been increasing in healthcare. Situation awareness seeks to understand environmental context to design the future, using artificial intelligence techniques. In this context, this article contributes the use of situation awareness in bed management using a hybrid system that combines known techniques of artificial neural networks and multiattribute value theory for decision-making by automating the process of bed allocation. The system was evaluated in a hospital in Porto Alegre, Brazil, yielding a result of 93.5% similarity between the beds determined by the proposed model and those chosen by the hospital manager. Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved.