This work presents an innovative quantitative approach, based on an optimization model, to manage outpatient Day Service operations. The main objective of the research work is to maximize admitted patient flow in order to use available resources efficiently. The model is designed with the help of Answer Set Programming and implemented in Datalog with Disjunction (DLV) system. As significant case study, we consider the Rheumatology domain. Preliminary results are presented.
Outpatient day service operations: A case study within rheumatology diseases management / Ielpa, Giuseppe; Guido, Rosita; Conforti, Domenico. - 210(2017), pp. 269-279. ((Intervento presentato al convegno 3rd International Conference on Health Care Systems Engineering, HCSE 2017 tenutosi a Italy nel 2017.
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Titolo: | Outpatient day service operations: A case study within rheumatology diseases management |
Autori: | |
Data di pubblicazione: | 2017 |
Rivista: | |
Citazione: | Outpatient day service operations: A case study within rheumatology diseases management / Ielpa, Giuseppe; Guido, Rosita; Conforti, Domenico. - 210(2017), pp. 269-279. ((Intervento presentato al convegno 3rd International Conference on Health Care Systems Engineering, HCSE 2017 tenutosi a Italy nel 2017. |
Handle: | http://hdl.handle.net/20.500.11770/276953 |
ISBN: | 9783319661452 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |