Child Cancer Follow-up Ontology And
Information System
Author(s)
J. A. El-Subaihi, F. Anton, D. Mioc, S. V. Andersen
& B. Lausen
Abstract
An increase in chronic diseases in Danish healthcare can be explained by the
corresponding increase of population longevity. Health professionals will not be
able to keep up with treating those diseases, due to the many existing and new
cases of chronic diseases. This results in mistakes in treatment processes,
compensations to patients due to medical negligence and duplication of work and
effort. In order to address a solution for healthcare practitioners, a small subgroup
of patients and diseases is chosen from all chronic diseases. Namely,
children diagnosed with cancer.
This research brings the methodology for child cancer treatment plan that
produces an ontology to create a conceptual model and a database model. To
construct the ontology, the \“methontology” method is used as a structured
approach for the ontology process. The method guides the ontology developer
from scratch to building a complete model. The ontology is developed in two
phases. In the first phase, research from other countries and process models are
reviewed and the generic model is built from this research. The generic model is
adapted to the ontology for the Danish hospitals including the NOPHO-ALL
2008 protocol. To develop the ontology, a data dictionary is first proposed. Then,
the relationships between concepts are identified and verified: the oriented graph,
where nodes are concepts and oriented edges are dependence relationships,
Keywords
child cancer follow-up, ontology, information system, ERD
Related Book
Other papers in this volume
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