Abstract
Despite the great potential for healthcare professionals, individuals and researchers, the integration of healthcare information from Electronic Health Records (EHR) and Personal Health Records (PHR) systems is complicated because of structural and semantic heterogeneity. Existing ways of PHR- and EHR-collection include harvesting medical and individual data from different data sources that store different medical, not standardized data. Such a heterogeneity increases the complexity of merging PHR and EHR. We focus on the integration process as a main aspect for solving the heterogeneity issue. Thereby, we aim at reducing the merging complexity by defining the requirements for PHR data collection and creating an ontology for a semantically sound data-set merger for personal-centric healthcare systems and we evaluate the results with formal means.
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Kormiltsyn, A., Norta, A. (2017). Dynamically Integrating Electronic - With Personal Health Records for Ad-hoc Healthcare Quality Improvements. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O. (eds) Digital Transformation and Global Society. DTGS 2017. Communications in Computer and Information Science, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-69784-0_33
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