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Process mining techniques: an application to stroke care.
- Source :
-
Studies in health technology and informatics [Stud Health Technol Inform] 2008; Vol. 136, pp. 573-8. - Publication Year :
- 2008
-
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.
- Subjects :
- Clinical Protocols
Data Collection
Database Management Systems
Decision Support Systems, Clinical
Emergency Medical Services
Guideline Adherence
Humans
Italy
Stroke diagnosis
Efficiency, Organizational
Hospital Information Systems
Information Storage and Retrieval
Medical Informatics Computing
Medical Records Systems, Computerized
Process Assessment, Health Care
Stroke therapy
Task Performance and Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 0926-9630
- Volume :
- 136
- Database :
- MEDLINE
- Journal :
- Studies in health technology and informatics
- Publication Type :
- Academic Journal
- Accession number :
- 18487792