Drug Safety

, Volume 30, Issue 6, pp 461–464

The National e-Prescribing Patient Safety Initiative

Removing One Hurdle, Confronting Others


  1. 1.
    Institute of Medicine. To err is human: building a safer health system. Washington, DC: National Academy Press, 2000Google Scholar
  2. 2.
    National ePrescribing Patient Safety Initiative. National patient safety initiative launched to provide free electronic prescribing to every physician Washington [online]. Available from URL: http://www.nationalerx.com/media/release-1.16.1007.pdf [Accessed 2007 May 10]
  3. 3.
    Chaudhry B, Wang J, Wu S, et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Int Med 2006; 144: 742–52PubMedGoogle Scholar
  4. 4.
    Fitzmaurice JM, Adams K, Eisenberg JM. Three decades of research on computer applications in health care: medical informatics support at the agency for healthcare research and quality. J Am Med Inform Assoc 2002; 9(2): 144–60PubMedCrossRefGoogle Scholar
  5. 5.
    Sidorov J. It ain’t necessarily so: the electronic health record and the unlikely prospect of reducing health care costs. Health Aff 2006; 25(4): 1079–85CrossRefGoogle Scholar
  6. 6.
    Bates DW, Leape LL, Cullen DJ, et al. Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. JAMA 1998; 280(15): 1311–6PubMedCrossRefGoogle Scholar
  7. 7.
    Bates DW, Teich JM, Lee J, et al. The impact of computerized physician order entry on medication error prevention. J Am Med Inform Assoc 1999; 6(4): 313–21PubMedCrossRefGoogle Scholar
  8. 8.
    Evans RS, Pestotnik SL, Classen DC, et al. A computer-assisted management program for antibiotics and other antiinfective agents. N Engl J Med 1998; 338(4): 232–8PubMedCrossRefGoogle Scholar
  9. 9.
    Raschke RA, Gollihare B, Wunderlich TA, et al. A computer alert system to prevent injury from adverse drug events: development and evaluation in a community teaching hospital. JAMA 1998; 280(15): 1317–20PubMedCrossRefGoogle Scholar
  10. 10.
    Peterson JF, Kuperman GJ, Shek C, et al. Guided prescription of psychotropic medications for geriatric inpatients. Arch Intern Med 2005; 165: 802–7PubMedCrossRefGoogle Scholar
  11. 11.
    Fischer MA, Lilly CM, Churchill WW, et al. An algorithmic computerised order entry approach to assist in the prescribing of new therapeutic agents: case study of activated protein C at an academic medical centre. Drug Saf 2004; 27: 1253–61PubMedCrossRefGoogle Scholar
  12. 12.
    Fischer MA, Solomon DH, Teich JM, et al. Conversion from intravenous to oral medications: assessment of a computerized intervention for hospitalized patients. Arch Intern Med 2003; 163(21): 2585–9PubMedCrossRefGoogle Scholar
  13. 13.
    Center for Information Technology Leadership. The value of computerized order entry in ambulatory settings [online]. Available from URL: http://www.citl.org/research/AC-POE_Executive_Preview.pdf [Accessed 2007 May 10]
  14. 14.
    Gans D, Kralewski J, Hammons T, et al. Medical groups’ adoption of electronic health records and information systems. Health Aff 2005; 24(5): 1323–33CrossRefGoogle Scholar
  15. 15.
    Jha AK, Ferris TG, Donelan K, et al. How common are electronic health records in the United States? A summary of the evidence. Health Aff (Web) 2006; 25(6): w496–507CrossRefGoogle Scholar
  16. 16.
    Gandhi TK, Weingart SN, Seger AC, et al. Outpatient prescribing errors and the impact of computerized prescribing. J Gen Intern Med 2005; 20: 837–41PubMedCrossRefGoogle Scholar
  17. 17.
    van der Sijs H, Aarts J, Vulto A, et al. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc 2006; 13: 138–47PubMedCrossRefGoogle Scholar
  18. 18.
    Weingart SN, Toth M, Sands DZ, et al. Physicians’ decisions to override computerized drug alerts in primary care. Arch Intern Med 2003; 163: 2625–31PubMedCrossRefGoogle Scholar
  19. 19.
    Shah NR, Seger AC, Seger DL, et al. Improving acceptance of computerized prescribing alerts in ambulatory care. J Am Med Inform Assoc 2006; 13: 5–11PubMedCrossRefGoogle Scholar
  20. 20.
    The National Opinion Resarch Center. Findings from the evaluation of e-prescribing pilot sites [online]. Available from URL: http://healthit.ahrq.gov/images/apr07norcerxreport/erxinterimevaluationreport.html [Accessed 2007 May 10]
  21. 21.
    Barker KN, Flynn EA, Pepper GA. Observation method of detecting medication errors. Am J Health Syst Pharm 2002; 59(23): 2314–6PubMedGoogle Scholar
  22. 22.
    Flynn EA, Barker KN, Gibson JT, et al. Impact of interruptions and distractions on dispensing errors in an ambulatory care pharmacy. Am J Health Syst Pharm 1999; 56(13): 1319–25PubMedGoogle Scholar
  23. 23.
    First set of recommendations on e-prescribing standards 2004 [online]. Available from URL: http://www.ncvhs.hhs.gov [Accessed 2005 Oct 11]
  24. 24.
    Steinman MA, Sands LP, Covinsky KE. Self-restriction of medications due to cost in seniors without prescription coverage. J Gen Intern Med 2001; 16(12): 793–9PubMedCrossRefGoogle Scholar
  25. 25.
    Fischer MA, Avorn J. Economic consequences of underuse of generic drugs: evidence from Medicaid and implications for prescription drug benefit plans. Health Serv Res 2003; 38(4): 1051–63PubMedCrossRefGoogle Scholar
  26. 26.
    Fischer MA, Avorn J. Potential savings from increased use of generic drugs in the elderly: what the experience of Medicaid and other insurance programs means for a Medicare drug benefit. Pharmacoepidemiol Drug Saf 2004; 13(4): 207–14PubMedCrossRefGoogle Scholar
  27. 27.
    Haas JS, Phillips KA, Gerstenberger EP, et al. Potential savings from substituting generic drugs for brand-name drugs: medical expenditure panel survey, 1997–2000. Ann Intern Med 2005; 142(11): 891–7PubMedGoogle Scholar
  28. 28.
    Fischer MA, Avorn J. Economic implications of evidence-based prescribing for hypertension. JAMA 2004; 291(15): 1850–6PubMedCrossRefGoogle Scholar
  29. 29.
    Alexander G, Casalino L, DO M. Patient-physician communication about out-of-pocket costs. JAMA 2003; 290(7): 953–8PubMedCrossRefGoogle Scholar
  30. 30.
    Alexander G, Casalino L, Tseng C, et al. Barriers to patientphysician communication about out-of-pocket costs. J Gen Intern Med 2004; 19(8): 856–60PubMedCrossRefGoogle Scholar
  31. 31.
    Fischer MA, Ferris TG, Vogeli C, et al. Impact of electronic prescribing on medication use and cost. J Gen Intern Med 2007; 22(S1): 40–1Google Scholar

Copyright information

© Adis Data Information BV 2007

Authors and Affiliations

  1. 1.Division of Pharmacoepidemiology and PharmacoeconomicsHarvard Medical School, Brigham and Women’s HospitalBostonUSA

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