Paper Info
Title
Process mining techniques: an application to stroke care.
Abstract
In a competitive health-care market, hospitals have to focus oil 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 ill 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.
Year
DOI
Venue
2008
10.3233/978-1-58603-864-9-573
Studies in Health Technology and Informatics
Keywords
Field
DocType
Data analysis-extraction tools,Process,Event-based systems
Data science,Data mining,Data stream mining,Computer science,Decision support system,Process modeling,Process analysis,Information and Communications Technology,Business process modeling,Business process discovery,Process mining
Conference
Volume
ISSN
Citations 
136
0926-9630
39
PageRank 
References 
Authors
1.73
9
7
Name
Order
Citations
PageRank
Ronny Mans126514.50
H. Schonenberg290135.19
Giorgio Leonardi317920.36
S Panzarasa423223.23
A Cavallini518618.04
S Quaglini648871.94
Wil Van Der Aalst7208941418.27