Electronic Healthcare. Third International Conference, eHealth 2010, Casablanca, Morocco, December 13-15, 2010, Revised Selected Papers

Research Article

Towards Knowledge Oriented Personal Health Systems

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  • @INPROCEEDINGS{10.1007/978-3-642-23635-8_5,
        author={Juha Puustj\aa{}rvi and Leena Puustj\aa{}rvi},
        title={Towards Knowledge Oriented Personal Health Systems},
        proceedings={Electronic Healthcare. Third International Conference, eHealth 2010, Casablanca, Morocco, December 13-15, 2010, Revised Selected Papers},
        proceedings_a={E-HEALTH},
        year={2012},
        month={10},
        keywords={E-health tools Patient-centered healthcare Personal health records Information therapy Ontologies OWL RDF SOA Relational database system triggers},
        doi={10.1007/978-3-642-23635-8_5}
    }
    
  • Juha Puustjärvi
    Leena Puustjärvi
    Year: 2012
    Towards Knowledge Oriented Personal Health Systems
    E-HEALTH
    Springer
    DOI: 10.1007/978-3-642-23635-8_5
Juha Puustjärvi1,*, Leena Puustjärvi2,*
  • 1: Helsinki University of Technology
  • 2: The Pharmacy of Kaivopuisto
*Contact email: juha.puustjarvi@tkk.fi, leena.puustjarvi@kolumbus.fi

Abstract

Although current e-health tools such as personal health records have proven to be useful they still have many shortages. Especially, they do not provide effective means for querying personal health information. They also fail in information therapy, i.e., in providing the right information to right people at right time. In addition, they are totally passive, although through automating the control of patients health information we could significantly and cost-effectively improve the quality of patient-centered healthcare. In this paper, we describe our designed a knowledge oriented active personal health system, which does not suffer from these shortcomings. Its key components are the personal health ontology and the alerts. Through the ontology we can provide data expressive queries and avoid the problem of limited information supply, and through the alerts we can provide active elements for controlling patient’s health information. We present the ontology in a graphical form and in OWL, and give rules for transforming the ontology into relational model. We also present how the alerts can be implemented by the triggers supported by relational database systems.