Skip to main content

Pharmacokinetic & -dynamic Drug Information and Dosage Adjustment System Pharmdis

  • Conference paper
  • First Online:
  • 723 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1933))

Abstract

Not only every patient is different, but also every drug. Drug dosage must be individualised, and adjusted to the patient’s organ func- tion (e.g. age, kidney) and severity of disease (e.g. intensive care, outpa- tient office). Within an European project, we are on the way to built up a drug information and dosage adjustment system. The essential compo- nents are available: the pharmacokinetic /-dynamic database NEPharm, calculation algorithms, a consensus on general pharmacokinetic concept, on dose adjustment rules, and on standard nomenclature (ATC code). A graphical user interface must be designed. The required components must be made interoperable, namely patient record, drug dictionary, phar- macokinetic /-dynamic database, calculation algorithms, graphical user interface. The dosage proposals made by the system must be clinically certified, and be compared to standard practice in an external environ- ment to evaluate clinical applicability and reliability. Special versions of the system will be designed for the needs of our software partners. The integrated system will be implemented to establish an internet-based centre of excellence for individualised drug therapy.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Beller GA, Smith TW, Abelmann HW, Haber E, Hood W. Digitalis intoxication: a prospective clinical study with serum level correlations. N Engl J Med 284 (1971) 989–996

    Article  Google Scholar 

  2. Appel GB, Neu HC. Nephrotoxicity of antimicrobial agents. N Engl J Med 296 (1977) 722–728

    Article  Google Scholar 

  3. Canal P, Chatelut E. Guichard S. Practical treatment guide for dose individualisation in cancer chemotherapy. Drugs 56 (1998) 1019–1038

    Article  Google Scholar 

  4. Evans WE, Relling MV, Rodman JH, Crom WR, Boyett JM, Pui CH. Conventional compared with individualized chemotherapy for childhood acute lymphoblastic leukemia. N Engl J Med 338 (1998) 499–505

    Article  Google Scholar 

  5. Poller L, Shlach CR, MacCallum PK, Johansen AM, Mnster AM, Magalhes A, Jespersen J, European Concerted Action on Anticoagulation. Multicentre randomised study of computerised anticoagulant dosage. Lancet 352 (1998) 1505–1509

    Article  Google Scholar 

  6. Evans RS, Pestotnik SL, Classen DC, Clemmer TP, Weaver LK, Orme JF, Lloyd JF, Burke JP. A computer-assisted management program for antibiotics and other intiinfective agents. N Engl J Med 338 (1998) 232–238

    Article  Google Scholar 

  7. Dettli L. Drug dosage and renal disease. Clin Pharmacol Therap 16 (1974) 274–279

    Google Scholar 

  8. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron 16 (1976) 31–41

    Article  Google Scholar 

  9. Levey AS, Bosch JP, Lewis JB, Green T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Ann Intern Med 130 (1999) 461–470

    Google Scholar 

  10. Sheiner LB, Beal SL. Bayesian individualization of pharmacokinetics: simple implementation and comparison with non-bayesian methods. J Pharm Sci 71 (1982) 1344–1348

    Article  Google Scholar 

  11. Holford NHG (ed.). Taeschner W, Vozeh S, Bennett WM, Dettli L, Hebert MF, Begg EJ, Atkinson HC, Darlow BA, Holford NHG. Drug Data Handbook. Adis, Auckland (1998) 244 pages

    Google Scholar 

  12. Czock D, Giehl M. Aminoglycoside pharmacokinetics and-dynamics: a nonlinear approach. Int J Clin Pharmacol Therap 33 (1995) 537–539

    Google Scholar 

  13. Miller GC, Britt H. A new drug classification for computer systems: the ATC extension code. Int J Biomed Comput 40 (1995) 121–124

    Article  Google Scholar 

  14. McMullin ST, Reichley RM, Watson LA, Steib SA, Frisse ME, Bailey TC. Impact of a Web-based clinical information system on cisapride drug interactions and patient safety. Arch Intern Med 159 (1999) 2077–2082

    Article  Google Scholar 

  15. Ruan W, Burkle T, Dudeck J. An object-oriented design for automated navigation of semantic networks inside a medical data dictionary. Artif Intell Med 18 (2000) 83–103

    Article  Google Scholar 

  16. Bloom BS, Iannacone RC. Internet availability of prescription pharmaceuticals to the public. Ann Intern Med 131 (1999) 830–833

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Keller, F., Czock, D., Giehl, M., Zellner, D. (2000). Pharmacokinetic & -dynamic Drug Information and Dosage Adjustment System Pharmdis. In: Brause, R.W., Hanisch, E. (eds) Medical Data Analysis. ISMDA 2000. Lecture Notes in Computer Science, vol 1933. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39949-6_27

Download citation

  • DOI: https://doi.org/10.1007/3-540-39949-6_27

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41089-8

  • Online ISBN: 978-3-540-39949-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics