Authors:
Juha Puustjärvi
1
and
Leena Puustjärvi
2
Affiliations:
1
Helsinki University of Technology, Finland
;
2
The Pharmacy of Kaivopuisto, Finland
Keyword(s):
Medical applications, Semantic web, Ontologies, Knowledge management, Semantic interoperability.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Business and Social Applications
;
Computational Intelligence
;
Computer-Supported Education
;
Domain Applications and Case Studies
;
e-Business
;
Enterprise Information Systems
;
Fuzzy Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Information Technologies Supporting Learning
;
Medical Applications
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Ontologies and Meta-Data Standards
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
Knowledge management concerns with acquiring, accessing and maintaining knowledge within an organization. Knowledge management is also important because organizations view internal knowledge as an intellectual asset from which they can draw greater productivity, create new value, and increase their competitiveness. We have investigated the management of knowledge in pharmacies. It has turned out that the volume of information coming in from a variety of information sources such as pharmaceutical companies, medicinal wholesalers, social insurance institutions and other authorities is increasing all the time. Further, the various formats such as paper, fax, email, and a wide variety of multiple electronic media formats are still complicating the information management. In order to alleviate this problem, we have introduced the notion of semantic frames, which are included in incoming XML-documents. The frames specify how to integrate the incoming document into the medicinal ontologies
and taxonomies in the pharmacy system. Further, as our used ontology models the relationships of the incoming documents and the daily duties, the integration of the documents and daily duties can be automatically done. The gain of this approach is that the documents (medicinal instructions) are provided just-in-time, and tailored to their specific needs. An essential prerequisite of our approach is that the healthcare organizations that send the documents and the receiving pharmacies have to commit to the same medicinal ontologies, i.e., they have to use the same vocabulary in specifying and interpreting the semantic frames.
(More)