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.
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Mallaug, T., Bratbergsengen, K. (2005). Long-Term Temporal Data Representation of Personal Health Data. In: Eder, J., Haav, HM., Kalja, A., Penjam, J. (eds) Advances in Databases and Information Systems. ADBIS 2005. Lecture Notes in Computer Science, vol 3631. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11547686_28
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DOI: https://doi.org/10.1007/11547686_28
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