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eHealth Service Discovery Framework: A Case Study in Ethiopia

  • Conference paper
Information Quality in e-Health (USAB 2011)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7058))

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Abstract

eHealth services just as general Health services mostly emphasize on patient record management systems. Unfortunately the information in these records is rarely used to provide quicker, personalized eHealth services and appropriate treatment especially in a low infrastructure context where health service providers are often overwhelmed by numbers leading to acute degradation in service delivery. Domain specific service discovery with personalization aims at providing user-aware services. This is very important in a low infrastructure context where most patient requirements particularly from rural areas are a consequence of low literacy levels. The focus of this paper is to describe a framework for eHealth service discovery in a low infrastructure context. To do this, we categorize the context of users and augment it with a user specific profile. Our framework provides ontology based, context-aware semantic and personalized services.

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Authors and Affiliations

  1. Radboud University, Nijmegen, Netherlands

    Tesfa Tegegne & Theo van der Weide

Authors
  1. Tesfa Tegegne
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  2. Theo van der Weide
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Editors and Affiliations

  1. Institute of Medical Informatics, Statistics and Documentation (IMI), Research Unit Human–Computer Interaction, Medical University Graz (MUG), Auenbruggerplatz 2/V, 8036, Graz, Austria

    Andreas Holzinger  & Klaus-Martin Simonic  & 

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Tegegne, T., van der Weide, T. (2011). eHealth Service Discovery Framework: A Case Study in Ethiopia. In: Holzinger, A., Simonic, KM. (eds) Information Quality in e-Health. USAB 2011. Lecture Notes in Computer Science, vol 7058. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25364-5_28

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  • DOI: https://doi.org/10.1007/978-3-642-25364-5_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25363-8

  • Online ISBN: 978-3-642-25364-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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