The use of innovative technologies to improve the hospital drug management process, and in particular its part concerned with logistics, needs to be supported by appropriate decision-making models basing their assessments on both technological issues and the characteristics of healthcare organisations. The frameworks existing in literature are sometimes too complicated to guide towards clear solutions, especially when scarce and/or qualitative information is available. This work presents a new decision-making approach in order to provide hospital managers with a simple but complete tool assisting in the selection of adequate technologies to make drug logistics more efficient. Its first application to some of the most diffused technologies is discussed.

A Decision‐Making Approach Supporting Hospital Drug Logistics / Cagliano, ANNA CORINNA; Grimaldi, Sabrina; Rafele, Carlo - In: Proceedings of the International Conference on Health Care Systems Engineering, Springer Proceedings in Mathematics & Statistics, Vol.61 / Andrea Matta, Jingshan Li, Evren Sahin, Ettore Lanzarone, and John Fowler. - STAMPA. - [s.l] : Springer International Publishing, 2014. - ISBN 9783319018478. - pp. 241-252 [10.1007/978-3-319-01848-5_19]

A Decision‐Making Approach Supporting Hospital Drug Logistics

CAGLIANO, ANNA CORINNA;GRIMALDI, Sabrina;RAFELE, Carlo
2014

Abstract

The use of innovative technologies to improve the hospital drug management process, and in particular its part concerned with logistics, needs to be supported by appropriate decision-making models basing their assessments on both technological issues and the characteristics of healthcare organisations. The frameworks existing in literature are sometimes too complicated to guide towards clear solutions, especially when scarce and/or qualitative information is available. This work presents a new decision-making approach in order to provide hospital managers with a simple but complete tool assisting in the selection of adequate technologies to make drug logistics more efficient. Its first application to some of the most diffused technologies is discussed.
2014
9783319018478
Proceedings of the International Conference on Health Care Systems Engineering, Springer Proceedings in Mathematics & Statistics, Vol.61
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2509087
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