Clinical activities can be seen as results of precise and defined events' succession where every single phase is characterized by a waiting time which includes working duration and possible delay. Technology makes part of this process. For a proper business continuity management, planning the minimum number of devices according to the working load only is not enough. A risk analysis on the whole process should be carried out in order to define which interventions and extra purchase have to be made. Markov models and reliability engineering approaches can be used for evaluating the possible interventions and to protect the whole system from technology failures. The following paper reports a case study on the application of the proposed integrated model, including risk analysis approach and queuing theory model, for defining the proper number of device which are essential to guarantee medical activity and comply the business continuity management requirements in hospitals.

Miniati, R., G., C., Dori, F., Frosini, F., Iadanza, E., BIFFI GENTILI, G., et al. (2013). A queueing theory based model for business continuity in hospitals. In IEEE Engineering in Medicine and Biology Society Conference Proceedings (pp.922-925). New York : IEEE [10.1109/EMBC.2013.6609652].

A queueing theory based model for business continuity in hospitals

IADANZA, ERNESTO;
2013-01-01

Abstract

Clinical activities can be seen as results of precise and defined events' succession where every single phase is characterized by a waiting time which includes working duration and possible delay. Technology makes part of this process. For a proper business continuity management, planning the minimum number of devices according to the working load only is not enough. A risk analysis on the whole process should be carried out in order to define which interventions and extra purchase have to be made. Markov models and reliability engineering approaches can be used for evaluating the possible interventions and to protect the whole system from technology failures. The following paper reports a case study on the application of the proposed integrated model, including risk analysis approach and queuing theory model, for defining the proper number of device which are essential to guarantee medical activity and comply the business continuity management requirements in hospitals.
978-1-4577-0216-7
Miniati, R., G., C., Dori, F., Frosini, F., Iadanza, E., BIFFI GENTILI, G., et al. (2013). A queueing theory based model for business continuity in hospitals. In IEEE Engineering in Medicine and Biology Society Conference Proceedings (pp.922-925). New York : IEEE [10.1109/EMBC.2013.6609652].
File in questo prodotto:
File Dimensione Formato  
02491798.PDF

non disponibili

Tipologia: PDF editoriale
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 577.7 kB
Formato Adobe PDF
577.7 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1215328