Child cancer follow-up ontology and information system

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, Data Management and Security 127 www.witpress.com, ISSN 1743-35 (on-line) WIT Transactions on Information and Communication Technologies, Vol 45, © 2013 WIT Press