Contextual media integration and recommendation for mobile medical diagnosis

Authors:
David Wilson;Eoin McLoughlin;Dympna O’Sullivan;Michela Bertolotto
Affiliations:
Department of Software and Information Systems, University of North Carolina at Charlotte;School of Computer Science and Informatics, University College Dublin, Dublin 4, Ireland;School of Computer Science and Informatics, University College Dublin, Dublin 4, Ireland;School of Computer Science and Informatics, University College Dublin, Dublin 4, Ireland
Venue:
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Year:
2006

Citing 3
Cited 0

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MEDIC: MobilE Diagnosis for Improved Care

Proceedings of the 2006 ACM symposium on Applied computing

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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.