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A Life-Cycle Based Authorisation Expert Database System

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Artificial Intelligence in Medicine (AIMDM 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1620))

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Abstract

Authorisation is a compulsory function in information systems that contain patient data. The proposed authorisation model is a refinement of a role-based content-dependent authorisation model. The access permissions are inferred from authorisation rules based on the role of the health care consultant, the association of the consultant with the patient, the security level and the state of the information object within the life-cycle. The design of the system is based on a three-level access control, and a combination of the existing information system with an expert database system.

The author is indebted to P. Verpalen, coauthor of a previous paper, and to B.E. Voeten and H.M. Blanken, University of Twente, Enschede, The Netherlands, for their valuable contribution.

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Author information

Authors and Affiliations

  1. University Medical Centre, Utrecht, The Netherlands

    Ying-Lie O

Authors
  1. Ying-Lie O
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Editor information

Editors and Affiliations

  1. Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010, Vienna, Austria

    Werner Horn

  2. Department of Medicine and Computer Science, Stanford University, 251 Campus Drive, Stanford, CA, 94305-5479, USA

    Yuval Shahar

  3. Department of Medicine Karolinska Institutet, Huddinge University Hospital, Sweden

    Greger Lindberg

  4. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajers Vej 7D, DK-9000, Aalborg, Denmark

    Steen Andreassen

  5. School of Public Policy, University College London, 29/30 Tavistock Square, London, WC1H 9EZ, UK

    Jeremy Wyatt

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© 1999 Springer-Verlag Berlin Heidelberg

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O, YL. (1999). A Life-Cycle Based Authorisation Expert Database System. In: Horn, W., Shahar, Y., Lindberg, G., Andreassen, S., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIMDM 1999. Lecture Notes in Computer Science(), vol 1620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48720-4_16

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  • DOI: https://doi.org/10.1007/3-540-48720-4_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66162-7

  • Online ISBN: 978-3-540-48720-3

  • eBook Packages: Springer Book Archive

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