International Journal of Medical Informatics
Volume 79, Issue 4 , Pages 243-251 , April 2010

Functionality test for drug safety alerting in computerized physician order entry systems

  • Heleen van der Sijs

      Affiliations

    • Department of Hospital Pharmacy, Erasmus University Medical Centre, Rotterdam, The Netherlands
    • Corresponding Author InformationCorresponding author at: Department of Hospital Pharmacy, Erasmus University Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands. Tel.: +31 10 703 3202; fax: +31 10 703 2400.
  • ,
  • Rachida Bouamar

      Affiliations

    • Department of Hospital Pharmacy, Erasmus University Medical Centre, Rotterdam, The Netherlands
  • ,
  • Teun van Gelder

      Affiliations

    • Department of Hospital Pharmacy, Erasmus University Medical Centre, Rotterdam, The Netherlands
    • Department of Internal Medicine, Erasmus University Medical Centre, Rotterdam, The Netherlands
  • ,
  • Jos Aarts

      Affiliations

    • Institute of Health Policy and Management, Erasmus University, Rotterdam, The Netherlands
  • ,
  • Marc Berg

      Affiliations

    • Institute of Health Policy and Management, Erasmus University, Rotterdam, The Netherlands
  • ,
  • Arnold Vulto

      Affiliations

    • Department of Hospital Pharmacy, Erasmus University Medical Centre, Rotterdam, The Netherlands

Received 3 March 2009 ,Revised 12 January 2010 ,Accepted 12 January 2010.

References 

  1. Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety. A systematic review. Arch. Intern. Med. 2003;163:1409–1416
  2. Glassman PA, Simon B, Belperio P, Lanto A. Improving recognition of drug interactions. Benefits and barriers to using automated drug alerts. Med. Care. 2002;40(12):1161–1171
  3. Walton R, Dovey S, Harvey E, Freemantle N. Computer support for determining drug dose: systematic review and meta-analysis. BMJ. 1999;318:984–990
  4. Raschke RA, Gollihare B, Wunderlich TA, Guidry JR, Leibowitz AI, Peirce JC, et al. A computer alert system to prevent injury from adverse drug events. JAMA. 1998;280(15):1317–1320
  5. Hunt DL, Haynes RB, Hanna SE, Smith K. Effects of computer-based clinical decision support systems on physician performance an patient outcomes. JAMA. 1998;280(15):1339–1346
  6. Rind DM, Safran C, Phillips RS, Wang Q, Calkins DR, Delbanco TL, et al. Effect of computer-based alerts on the treatment and outcomes of hospitalized patients. Arch. Intern. Med. 1994;154:1511–1517
  7. Van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry. J. Am. Med. Inform. Assoc. 2006;13:138–147
  8. Peterson JF, Bates DW. Preventable medication errors: identifying and eliminating serious drug interactions. J. Am. Pharm. Assoc. 2001;41:159–160
  9. Hazlet TK, Lee TA, Hansten PD, Horn JR. Performance of community pharmacy drug interaction software. J. Am. Pharm. Assoc. 2001;41(2):200–204
  10. Langdorf M, Fox J, Marwah R, Matague B, Hart M. Physician versus computer knowledge of potential drug interactions in the emergency department. Emerg. Med. 2000;7:1321–1329
  11. Smith W, Hatton R, Fann A, Baz M, Kaplan B. Evaluation of drug interaction software to identify alerts for transplant medications. Ann. Pharmacother. 2005;39:45–50
  12. Del Fiol G, Rocha BH, Kuperman GJ, et al. Comparison of two knowledge bases on the detection of drug–drug interactions. Proc. AMIA Symp. 2000;171–175
  13. Fernando B, Savelyich BSP, Avery AJ, Sheikh A, Bainbridge M, Horsfield P, et al. Prescribing safety features of general practice computer systems: evaluation using simulated cases. BMJ. 2004;328:1171–1172
  14. Killbridge PM, Welebob EM, Classen DC. Development of the Leapfrog methodology for evaluating hospital implemented inpatient computerized physician order entry systems. Qual. Saf. Health Care. 2006;15:81–84
  15. Van Roon EN, Flikweert S, le Comte M, Langendijk PN, Kwee-Zuiderwijk WJ, Smits P, et al. Clinical relevance of drug–drug interactions: a structured assessment procedure. Drug Saf. 2005;28(12):1131–1139
  16. Van der Sijs H, Aarts J, van Gelder T, Berg M, Vulto A. Turning off frequently overridden drug alerts: limited opportunities for doing it safely. J. Am. Med. Inform. Assoc. 2008;15:439–448
  17. Schirm E, van Buuren S, Tobi H. Recente groeicijfers, en voor jongens en meisjes apart. Aangepaste Denekampschaal voor dosering bij kinderen (Recent growth figures, separately for boys and girls. Adjusted Denekamp scale for dosing in children), Pharm. Weekbl. 2003;23:831–833
  18. www.hisystems.nl, accessed September 15th 2006.
  19. www.chipsoft.nl, accessed September 15th 2006.
  20. www.isoft.nl, accessed September 15th 2006.
  21. www.t.is, accessed September 15th 2006.
  22. www.cis-healthcare.com, accessed June 9th 2008.
  23. www.vcd.nl, accessed June 10th 2008.
  24. Schiff GD, Klass D, Peterson J, Shah G, Bates DW. Linking laboratory and pharmacy. Arch. Intern. Med. 2003;163:893–900
  25. Van der Sijs H, Lammers L, van den Tweel A, Aarts J, Berg M, Vulto A, et al. Time-dependent drug–drug interaction alerts in care provider order entry: software may inhibit medication error reductions. J. Am. Med. Inform. Assoc. 2009;16:864–868
  26. J. Metzger, F. Turisco, Computerized Physician Order Entry: A Look at the Vendor Marketplace and Getting Started, 2001, available at www.leapfroggroup.org, accessed on April 10th 2006.
  27. www.nvza.nl, accessed November 9th 2006.
  28. Kuperman G, Bobb A, Payne TH, Avery AJ, Gandhi TK, Burns G, et al. Medication-related clinical decision support in computerized provider order entry systems: a review. J. Am. Med. Inform. Assoc. 2007;14:29–40
  29. Bartelink IH, Rademaker CMA, Schobben AFAM, Van den Anker JN. Guidelines on paediatric dosing on the basis of developmental physiology and pharmacokinetic considerations. Clin. Pharmacokinet. 2006;45(11):1077–1097

PII: S1386-5056(10)00018-3

doi: 10.1016/j.ijmedinf.2010.01.005

International Journal of Medical Informatics
Volume 79, Issue 4 , Pages 243-251 , April 2010