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Auflistung nach Autor:in "Savini, Marco"

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  • Zeitschriftenartikel
    Grassroots Smart Cities
    (Informatik Spektrum: Vol. 40, No. 1, 2017) Savini, Marco
  • Konferenzbeitrag
    Integrating Context Information in a Mobile Environment using the eSana Framework
    (European Conference on eHealth 2007, 2007) Savini, Marco; Stormer, Henrik; Meier, Andreas
    Mobile devices are becoming ubiquitous in everyday’s life, their popularity and place independence are reasons for using these devices in different areas. One such area is electronic health, where patients can install small applications on their mobile devices that help or guide them in certain situations. The eSana framework offers a set of tools and approaches that allow the transmission of discrete physiological values electronically in order to evaluate them by medical experts. This paper presents an extension to this framework that includes the use of contextual information to improve eSana. The use case “Find nearby pharmacy” will illustrate a simple application that uses context information to guide the patient to the best pharmacy within his range. A second use case will enrich the existing idea of transmitting physiological parameters with context information.
  • Konferenzbeitrag
    Using a data warehouse approach for mobile patients
    (European Conference on eHealth 2006, 2006) Ionas, Andreea; Meier, Andreas; Pop, Ciprian; Savini, Marco; Stormer, Henrik
    A large number of people already own a mobile phone. In the eHealth area, the usage of this mobile device is becoming more and more popular. Patients can install small applications on their devices that help or guide them in certain situations. Additionally, the mobile devices can be used to transmit all kind of physiological parameters electronically. These parameters are stored on a special server. By analyzing the data, patients can be alerted when the parameters are becoming bad. This paper presents the eSana framework that was developed as an integrated framework to connect patients to medical experts and enable the electronic transmission of physiological parameters. An important step is the analysis of these data. The focus of this paper is to show how eSana provides mechanisms for the automatic analysis of data by utilizing a data warehouse. The data warehouse model and possible analyses will be presented.