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The Roadmap for Sharing Electronic Health Records: The Emerging Ubiquity and Cloud Computing Trends

  • Sabah Mohammed
  • Jinan Fiaidhi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6485)

Abstract

Medical paper-based records have been in existence for decades and their gradual replacement by computer-based records has been slowly underway for over twenty years in healthcare systems. Computerized information systems have not achieved the same degree of penetration in healthcare as that seen in other sectors such as finance, transport and the manufacturing and retail industries. Further, deployment has varied greatly from country to country and from specialty to specialty and in many cases has revolved around local systems designed for local use. Electronic medical record systems lie at the center of any computerized health information system. Without them other modern technologies such as disease surveillance systems cannot be effectively integrated into routine clinical workflow. The paperless, interoperable, multi-provider, multi-specialty, multi-discipline computerized medical record, which has been a goal for many researchers, healthcare professionals, administrators and politicians for the past two decades, is however about to become reality in many countries. This article provides a roadmap vision based on the emerging web technologies that hold great promise for addressing the challenge of sharing electronic health records. It starts with addressing the ubiquity trend and how it can be realized based on the new cloud computing paradigm to share electronic heath records like the community of care records/documents (CCRs, CCDs). The article also addresses the security concerns related to sharing electronic health records over the cloud.

Keywords

Cloud Computing Electronic Health Record Identity Management Electronic Medical Record System Computerize Information System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Sabah Mohammed
    • 1
  • Jinan Fiaidhi
    • 1
  1. 1.Department of Computer ScienceLakehead UniversityCanada

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