From data to knowledge: a method for modeling hospital logistic processes

When modeling or redesigning a process, the knowledge-management perspective is seldomly used. Using the knowledge categorization developed by van Heusden and Jorna, we propose a knowledge-management perspective to provide a strategy for modeling and redesigning a business process. As an illustratio...

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Bibliographic Details
Published in:IEEE journal of biomedical and health informatics 2005-06, Vol.9 (2), p.248-255
Main Authors: Maruster, L., Jorna, R.J.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Business process re-engineering
Clustering
Concrete
Documentation
Environmental economics
Hospitals
Information Management
Knowledge management
knowledge types
Logistic Models
Logistics
Medical services
Medical treatment
Models, Theoretical
process discovery
process modeling
Technology management
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Summary:When modeling or redesigning a process, the knowledge-management perspective is seldomly used. Using the knowledge categorization developed by van Heusden and Jorna, we propose a knowledge-management perspective to provide a strategy for modeling and redesigning a business process. As an illustration of our approach, we use hospital data of multidisciplinary patients. This specific group of patients requires the involvement of different specialisms for their medical treatment that leads to more efforts regarding the coordination of care for these patients. In order to increase the care efficiency, knowledge that supports the reorganization of care for multidisciplinary patients should be provided. We use the above-mentioned knowledge-management perspective for creating new multidisciplinary units, in which different specialisms coordinate the treatment of specific groups of patients.
ISSN:1089-7771
2168-2194
1558-0032
2168-2208
DOI:10.1109/TITB.2005.847194