Long-term temporal data representation of personal health data

Authors:
Tore Mallaug;Kjell Bratbergsengen
Affiliations:
Faculty of Informatics and e-Learning, Sør-Trøndelag University College, Trondheim, Norway;Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway
Venue:
ADBIS'05 Proceedings of the 9th East European conference on Advances in Databases and Information Systems
Year:
2005

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Abstract

The demand for timely, accurate personal health data is continuously growing. The increasing volume of generated health data from different sources creates new needs for a national, or international, future intergraded personal electronic health record (EHR). The database plays an important role in such a future health system. All kinds of personal health data must be stored and represented for a very long-term access. For this purpose we are working on a temporal object model in order to represent different versions of health data content, schemas and ontologies. Mappings between versions of these concepts are used for a temporal search in the stored data. In this paper we are introducing the use and purpose of the temporal model related to the examples of data and schema updates. A contribution of this work is to solve the EHR-case by using solutions from temporal databases, schema versioning and ontologies.