Dias, S. SaraMartins, Maria F.O.2025-11-142025-11-142015Dias, S. S., & Martins, M. F. O. (2015). HIV AIDS length of stay outliers. In MM. CruzCunha, J. Varajao, R. Rijo, R. Martinho, P. Schubert, A. Boonstra, R. Correia, & R. Berler (Eds.), CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2015 (pp. 984-992). (Procedia Computer Science; Vol. 64). Elsevier Science B.V., Inc. https://doi.org/10.1016/j.procs.2015.08.6171877-0509http://hdl.handle.net/10400.8/14622Conference name Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, CENTERIS 2015Conference date 7 October 2015 - 9 October 2015Conference city Vilamoura, PortugalCosts with HIV/AIDS hospitalizations are one of the major financial burdens on healthcare systems worldwide. In Portugal, hospitalizations related to HIV infection are some of the most expensive and the second major diagnosis category, and also accounts for the greatest average length of stay. As a result, it is crucial to understand and identify HIV/AIDS hospital length of stay outliers. The objective of this study is to analyse HIV/AIDS length of stay high outliers during five consecutive years (2009-2013) and to identify its determinants for a specific HIV/AIDS diagnosis related group. To attain these objectives we will use a logistic regression model with random effects.engHIV/AIDSHospital length of stayoutliersrandom effectsjournal article10.1016/j.procs.2015.08.617