• DocumentCode
    2308402
  • Title

    Remote Patient Monitoring and Healthcare Management Using Multi-agent Based Architecture

  • Author

    Saleem, Rizwan Muhammad ; Muhammad, Aslam ; Martinez-Enriquez, A.M.

  • Author_Institution
    Dept. of CS & E, U.E.T., Lahore, Pakistan
  • fYear
    2010
  • fDate
    8-13 Nov. 2010
  • Firstpage
    118
  • Lastpage
    123
  • Abstract
    Governments in under developing countries face serious problems for offering quality healthcare services at reasonable cost due to rapidly graying population and patients with chronic diseases. Due to currently healthcare resources are not sufficient, many deaths without medication are produced. Thus, this increasing important issue needs to be attended. Our approach to tackle this issue is based on Multi-agent system (MAS) architecture. Our Remote Patient Monitoring (RPM) system monitors patients taking into account physiological and environmental parameters. In this way, RPM provides reliable and low-cost healthcare to elderly, chronically, and acutely people either indoor or outdoor environment. Our hypothesis is that an effective use of healthcare resources, entails reduction of unnecessary hospitalizations, minimizes among others: cost, treatment, and monitoring. However, despite of RPM potential applications, it has not become an integrated part of patient care in heterogeneous environments, mainly due to the lack of knowledge and infrastructure. This paper presents the design and implemented MAS architecture for RPM, identifying barriers and providing perspectives for the future.
  • Keywords
    cost reduction; health care; multi-agent systems; patient monitoring; healthcare management; healthcare resources; healthcare services; multi-agent system; remote patient monitoring; Telemedicine; e-health; remote diagnosis and monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence (MICAI), 2010 Ninth Mexican International Conference on
  • Conference_Location
    Pachuca
  • Print_ISBN
    978-0-7695-4284-3
  • Type

    conf

  • DOI
    10.1109/MICAI.2010.31
  • Filename
    5699181