Skip to main content
SpringerLink
Log in

Electronic Drug Prescribing and Administration - Bedside Medical Decision Making

  • Conference paper
  • First Online:
Artificial Intelligence in Medicine (AIMDM 1999)

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

Abstract

A rules-based electronic drug prescribing system is described, which by means of radio-linked mobile terminals allows bedside entry of drug prescription and administration data to be evaluated in real-time against wide-ranging clinical data including interactions and allergies. Results of a questionnaire assessing the acceptability of the system are summarised, and preliminary analysis of data gathered as part of routine operation is presented, showing doctors' responses to warning messages of differing severity.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Peters M, Neuberger JM. A knowledge-based system for electronic drug prescribing utilising wireless terminals. In Waegemann CP, ed. Toward an electronic health record Europe '96:267–270. Centre for the Advancement of Electronic Health Records, 1996.

    Google Scholar 

  2. Peters M, Lambert ME, McCauley BA, Clark IR, Machell TA, McCoy HM, Mayer AD, Neuberger JM. A knowledge-based system for electronic drug prescribing utilising wireless terminals. In Richards B, ed. Current Perspectives in Healthcare Computing 1997. Br J Healthcare Computing, 1997.

    Google Scholar 

  3. Nightingale PG, Neuberger JM and Peters M. Rules-based drug prescription and administration by use of wireless terminals. Health Trends 1997 29(3):83–88.

    Google Scholar 

  4. Clark I, Peters M, Neuberger JM A knowledge-based system for electronic drug prescribing utilising wireless terminals. In Waegemann CP, ed. Toward an Electronic Patient Record '97:226–230. Centre for the Advancement of Electronic Health Records, 1997.

    Google Scholar 

  5. McCauley BA, Parekh J, Clark IR. A MUMPS application of rule based processing. In: Dayhoff RE, ed. Proceedings of the MUMPS Users' Group Meeting 1991 New Orleans. Maryland, USA: MUMPS Users' Group.

    Google Scholar 

  6. McCauley BA, Young I, Clark IR, Peters M. Incorporation of the Arden Syntax within the re-implementation of a closed-loop decision support system. Comput Biomed Res. 1996 29(6) 507–518.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Wolfson Computer Laboratory, Queen Elizabeth Hospital, Edgbaston, Birmingham, B15 2TH, UK

    I. R. Clark, B. A. McCauley, I. M. Young, P. G. Nightingale & M. Peters

  2. Department of Nephrology, Queen Elizabeth Hospital, Edgbaston, Birmingham, B15 2TH, UK

    N. T. Richards & D. Adu

Authors
  1. I. R. Clark
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. B. A. McCauley
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. I. M. Young
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. P. G. Nightingale
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. M. Peters
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. N. T. Richards
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. D. Adu
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Clark, I.R. et al. (1999). Electronic Drug Prescribing and Administration - Bedside Medical Decision Making. 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_14

Download citation

  • DOI: https://doi.org/10.1007/3-540-48720-4_14

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66162-7

  • Online ISBN: 978-3-540-48720-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation