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Contextual Media Integration and Recommendation for Mobile Medical Diagnosis

  • David Wilson
  • Eoin McLoughlin
  • Dympna O’Sullivan
  • Michela Bertolotto
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4018)

Abstract

Hospitals everywhere are taking advantage of the flexibility and speed of wireless computing to improve the quality and reduce the cost of healthcare. Caregivers equipped with portable computers now have levels of interaction at the bedside not possible with paper charts and can leverage accurate real-time patient information at the point of care to diagnose and treat patients with greater speed and efficiency. We present a mobile medical application that integrates heterogenous medical media (e.g. textual patient case descriptions, relevant medical imagery, physician dictations and endoscopies) into encapsulated patient profiles. This paper provides an overview and initial evaluation of the MEDIC mobile healthcare recommender system that facilitates decision support for expert diagnosis.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • David Wilson
    • 1
  • Eoin McLoughlin
    • 2
  • Dympna O’Sullivan
    • 2
  • Michela Bertolotto
    • 2
  1. 1.Department of Software and Information SystemsUniversity of North Carolina at CharlotteUSA
  2. 2.School of Computer Science and InformaticsUniversity College DublinDublin 4Ireland

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