Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/24545| Title: | Real-time hospital bed occupancy and requirements forecasting |
| Authors: | Garg, Lalit Mulvaney, Adrian Gupta, Vipul Calleja, Neville |
| Keywords: | Hospital utilization -- Length of stay Phase contrast magnetic resonance imaging Hospital beds -- Statistical methods |
| Issue Date: | 2015 |
| Publisher: | EurOMA |
| Citation: | Garg, L., Mulvaney, A., Gupta, V., & Calleja, N. (2015). Real-time hospital bed occupancy and requirements forecasting. 22nd EurOMA International Annual Conference on Operations Management for Sustainable Competitiveness, Neuchâtel. 1-10. |
| Abstract: | To ensure better utilization and availability of the healthcare resources healthcare managers, planners and hospital staff need to develop policies. The hospital length of stay (LOS) of patients and therefore the resource requirements depend on many factors such as the covariates that represent the characteristics of the patients. Here we have used the discharge dataset of Mater Dei Hospital, Malta to model the LOS and admissions. Phase type survival tree is used to cluster patients into homogeneous groups with respect to the LOS and admissions. |
| URI: | https://www.um.edu.mt/library/oar//handle/123456789/24545 |
| Appears in Collections: | Scholarly Works - FacICTCIS |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| HOM-16_33161.pdf | 311.76 kB | Adobe PDF | View/Open |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.