Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers

Research Article

Decision Support for the Remote Management of Chronic Patients

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  • @INPROCEEDINGS{10.1007/978-3-642-29734-2_6,
        author={Sara Colantonio and Giuseppe Pietro and Massimo Esposito and Alberto Mach\'{\i} and Massimo Martinelli and Ovidio Salvetti},
        title={Decision Support for the Remote Management of Chronic Patients},
        proceedings={Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers},
        proceedings_a={MOBIHEALTH},
        year={2012},
        month={10},
        keywords={Decision Support Knowledge Formalization Ontology},
        doi={10.1007/978-3-642-29734-2_6}
    }
    
  • Sara Colantonio
    Giuseppe Pietro
    Massimo Esposito
    Alberto Machì
    Massimo Martinelli
    Ovidio Salvetti
    Year: 2012
    Decision Support for the Remote Management of Chronic Patients
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-642-29734-2_6
Sara Colantonio1,*, Giuseppe Pietro2,*, Massimo Esposito2,*, Alberto Machì2,*, Massimo Martinelli1,*, Ovidio Salvetti1,*
  • 1: ISTI-CNR
  • 2: ICAR-CNR
*Contact email: sara.colantonio@isti.cnr.it, giuseppe.depietro@icar.cnr.it, massimo.martinelli@isti.cnr.it, alberto.machi@icar.cnr.it, massimo.martinelli@isti.cnr.it, ovidio.salvetti@isti.cnr.it

Abstract

Chronic diseases may cause major limitations in patients’ daily living due to acute or deterioration events, which can happen more or less frequently and, often, cannot be totally relieved, causing a worsening of patients’ conditions. In the last years, a strong effort is being spent in the development of intelligent ICT applications for patients’ telemonitoring, aimed at maximizing the quality of life of chronic patients by means of a regular collection of information about their status and actions in a long-stay setting. In this paper, a knowledge based decision support system is presented, which is aimed at aiding clinical professionals in managing chronic patients on a daily basis, by assessing their current status, helping face their worsening conditions, and preventing their exacerbation events.