Skip to main content
SpringerLink
Log in

Integrated decision support: The DIADOQ computer-based patient record

  • Hybrid and Cooperative Systems
  • Conference paper
  • First Online:
Artificial Intelligence in Medicine (AIME 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1211))

Included in the following conference series:

Abstract

The DIADOQ project aims at assuring the quality of care for Diabetic patients by means of task specific decision support for clinically relevant problems in diagnosing, therapy planning, and monitoring of Diabetes. As a first step a knowledge-based CPR system for Diabetes outpatient clinics has been developed, utilising simple textbook presentations up to inferences by causal-probabilistic networks.

DIADOQ — Optimised Care Through Knowledge-based Quality Assurance: Diabetes Mellitus. The organisations involved are: Diabetes Research Institute, Düsseldorf; GSF — MEDIS Institute, Neuherberg; Institute for Diabetes, Karlsburg; University Hospital of Erlangen-Nürnberg, Nürnberg; IMIB — Institute for Medical Informatics and Biometry, Dresden; Department of Diabetes, München-Bogenhausen; Boehringer Mannheim GmbH, Mannheim; Institute for Mathematics, Ludwig Maximilians University, München. DIADOQ is part of the German MEDWIS (Medical Knowledge-bases) research programme.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Cairns T. et al. The Clinical View of the Common Basic Specification: The COSMOS Project Clinical Process Model, Version 2.0, NHS Information Management Centre, Birmingham, 1993.

    Google Scholar 

  2. EURODIABETA. Information Technology for Diabetes Care in Europe: The EURODIABETA Initiative. Diabetic Medicine, 7:536–560, 1990.

    Google Scholar 

  3. European NIDDM Policy Group (Ed.) A Desktop Guide for the Management of Non-insulin-dependent Diabetes Mellitus (NIDDM). Kirchheim, Mainz, 1993.

    Google Scholar 

  4. European IDDM Policy Group (Ed.) Consensus Guidelines for the Management of Insulin-dependent (Type 1) Diabetes. Medicom Europe BV, Bussum, 1993.

    Google Scholar 

  5. Jensen F.V. An introduction to Bayesian networks. UCL Press Limited, London, 1996.

    Google Scholar 

  6. Krans H.M.J., Porta M., Keen H. (Eds.) Diabetes Care and Research in Europe: The St. Vincent Declaration Action Programme. World Health Organisation, Regional Office for Europe, Copenhagen; International Diabetes Federation, European Region, 1992.

    Google Scholar 

  7. Moser W., Böhm V., Böhmer K., Engelbrecht R., Brenner H.H. Integrated Development of a Knowledge-based CPR System for Quality Assurance in Diabetes Outpatient Clinics. In: Greens A.G., Peterson H.E., Protti D.J. (Eds.) Proceedings of the 8th World Congress on Medical Informatics (MEDINFO), North Holland, 236–239, 1995.

    Google Scholar 

  8. Weed L.L. Knowledge Coupling. Springer Verlag, New York, 1991.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. MEDIS - Institute for Medical Informatics and Health Services Research, GSF - National Research Center for Environment and Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany

    Wolfgang Moser

  2. DFI - Diabetes Research Institute, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany

    Thomas Diedrich

Authors
  1. Wolfgang Moser
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Thomas Diedrich
    View author publications

    You can also search for this author in PubMed Google Scholar

Consortia

DIADOQ

Editor information

Elpida Keravnou Catherine Garbay Robert Baud Jeremy Wyatt

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Moser, W., Diedrich, T., DIADOQ. (1997). Integrated decision support: The DIADOQ computer-based patient record. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029487

Download citation

  • DOI: https://doi.org/10.1007/BFb0029487

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62709-8

  • Online ISBN: 978-3-540-68448-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation