Process mining techniques: An application to stroke care

Ronny Mans, Helen Schonenberg, Giorgio Leonardi, Silvia Panzarasa, Anna Cavallini, Silvana Quaglini, Wil Van Der Aalst

Risultato della ricerca: Capitolo in libro/report/atti di convegnoContributo a conferenzapeer review

Abstract

In a competitive health-care market, hospitals have to focus on ways to streamline their processes in order to deliver high quality care while at the same time reducing costs. To accomplish this goal, hospital managers need a thorough understanding of the actual processes. Diffusion of Information and Communication Technology tools within hospitals, such as electronic clinical charts, computerized guidelines and, more generally, decision support systems, make huge collections of data available, not only for data analysis, but also for process analysis. Process mining can be used to extract process related information (e.g., process models) from data, i.e., process mining describes a family of a-posteriori analysis techniques exploiting the information recorded in the event logs. This process information can be used to understand and redesign processes to become efficient high quality processes. In this paper, we apply process mining on two datasets for stroke patients and present the most interesting results. Above all, the paper demonstrates the applicability of process mining in the health-care domain.

Lingua originaleInglese
Titolo della pubblicazione ospiteStudies in Health Technology and Informatics
EditoreIOS Press
Pagine573-578
Numero di pagine6
ISBN (stampa)9781586038649
Stato di pubblicazionePubblicato - 2008
Pubblicato esternamente

Serie di pubblicazioni

NomeStudies in Health Technology and Informatics
Volume136
ISSN (stampa)0926-9630
ISSN (elettronico)1879-8365

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