• DocumentCode
    3570862
  • Title

    Leveraging online social media for capturing observations of daily living and ecological momentary assessment

  • Author

    Anwar, Mohd

  • Author_Institution
    Dept. of Comput. Sci., North Carolina A&T State Univ., Greensboro, NC, USA
  • fYear
    2014
  • Firstpage
    104
  • Lastpage
    108
  • Abstract
    Observations of daily living (ODLs) are important information for empowering users to understand their health and well-being, and while shared with clinicians, ODLs can be used to improve diagnosis and treatment. On the other hand, clinicians and researchers are interested in performing ecological momentary assessment (EMA) to better understand health-related behavior patters in order to diagnose and treat health conditions. We envision the use of user-generated content and user activity logs in Online Social Networks (OSNs) to glean ODLs and perform EMA. Open platforms of major OSNs would allow the development of third-party applications ("apps ") to capture health related data. The data gathered by an "app " can be sent to a Cloud-based server that can process the data to glean ODLs and then add them into personal health records (PHRs) or to perform EMA.
  • Keywords
    cloud computing; electronic health records; social networking (online); EMA; ODL; OSN; PHR; cloud-based server; data gathering; ecological momentary assessment; health condition diagnosis improvement; health condition treatment improvement; health related data capture; health-related behavior patterns; observation-of-daily living; online social media leveraging; personal health records; third-party applications; user activity logs; user health; user well-being; user-generated content; Blogs; Facebook; Media; Medical services; Privacy; Twitter; Ecological Momentary Assessment (EMA); Observations of Daily Living (ODL); Online Social Networks (OSN); Personal Health Record (PHR);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2014 IEEE 15th International Conference on
  • Type

    conf

  • DOI
    10.1109/IRI.2014.7051879
  • Filename
    7051879