• DocumentCode
    726499
  • Title

    Application of Mobile Games to Support Clinical Data Collection for Patients with Niemann-Pick Disease

  • Author

    Sinnott, Richard O. ; Jun Han ; Hu, William ; Xiaoxiao Ma ; Kuai Yu

  • Author_Institution
    Dept. of Comput. & Inf. Syst., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2015
  • fDate
    22-25 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Collection of clinical information can be a fraught and intimidating process in hospital environments, especially for children with neurological conditions. Gaming and mobile technology offer many potential advantages for data collection where clinically important data can be collected as a side effect of playing games. Niemann-Pick Disease (NPD) is one example of a condition where gaming technology has the potential to greatly help patients and doctors alike. NPD is a severe, often fatal neurological condition where extensive physiological and cognitive information needs to be collected by doctors, typically in hospital environments. To help healthcare providers collect far richer information on NPD patients and reduce the burden/stress of patients and their families alike, a suite of targeted mobile games was developed to capture specific clinical information on NPD patients. These were evaluated with NPD patients and the feedback received was used to tailor the games accordingly. Personalised clinical information obtained through game playing was recorded, analysed and visualised through a flexible and extensible Cloud-based solution including capabilities for tracking patients longitudinally. This work has been directly aligned with the International Niemann-Pick Disease Registry. We suggest that this approach offers the potential for improved processes for data collection and importantly, a less stressful and more cost effective approach for collecting clinical information from and for patients.
  • Keywords
    cloud computing; cognition; data analysis; diseases; medical computing; neurophysiology; patient diagnosis; Niemann-Pick disease patients; clinical data collection; cloud-based solution; cognitive information; fatal neurological condition; gaming technology; healthcare providers; mobile game application; mobile technology; physiological information; Data collection; Diseases; Games; Hospitals; Image color analysis; Mobile handsets; Mobile games; Niemann-Pick Disease; data collection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2015 IEEE 28th International Symposium on
  • Conference_Location
    Sao Carlos
  • Type

    conf

  • DOI
    10.1109/CBMS.2015.9
  • Filename
    7167444