A methodological framework dedicated to hospital supply chain management with the combination of data warehousing and data mining,

Catherine Combes (1) , Nadine Meskens (2) , Hongying Fei (2) , Michel Gourgand (3)

1 LHC - Laboratoire Hubert Curien [Saint Etienne]
2 Département Gestion de Production et des Opérations
3 LIMOS - Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes

This paper presents a methodological framework based on data warehousing and knowledge discovery in database, which are dedicated to hospital supply chain, in order to evaluate performance, plan and schedule activities and resources (financial, physical and human resources). Our study mainly focuses on the operating theatre, and our approach is based on a methodology framework centering on patients' flow path-progression (sequences of activities), and the description of each activity (necessary resources and duration of activities). This study contributes to the combination of performance evaluation, data warehousing and data mining approaches in the hospital supply chain in order to forecast patients' trajectory and estimate tasks duration according to patients' profile.

Keywords: rough sets.; rough sets; Methodological framework for performance evaluation; hospital supply chain

Domains: Computer Science [cs]; Other [cs.OH]; Computer Science [cs]; Databases [cs.DB]

Catherine Combes, Nadine Meskens, Hongying Fei, Michel Gourgand. A methodological framework dedicated to hospital supply chain management with the combination of data warehousing and data mining,. ILS'06, International Conference on Information Systems, Logistics and Supply Chain, May 2006, Lyon, France. ⟨ujm-00107279⟩