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Impact of Computerized Physician Order Entry on Clinical Practice in a Newborn Intensive Care Unit

Abstract

OBJECTIVE: To study the impact of computerized physician order entry (CPOE) on selected neonatal intensive care unit (NICU) practices.

DESIGN: Retrospective review.

SETTING: Nursing units in an academic health system where CPOE has been implemented in adult services since 2000 and in the NICU since 2002.

STUDY POPULATION: Data from 111 very-low-birth-weight (VLBW) infants born consecutively within 6 months before and 100 VLBW infants born within 6 months after the implementation of CPOE were evaluated. The study is based on pre- and post-CPOE comparisons in medication error rates and on the initiation to completion time intervals for pharmacy orders and radiology procedures. The specific data subsets that were compared included caffeine and gentamicin. Radiology turn-around time (order to image display) for the first chest and abdominal X-ray taken following endotracheal intubation and/or umbilical catheter placement was studied.

RESULTS: Statistically significant (p<0.01) reductions were seen in medication turn-around times for the loading dose of caffeine in pre-CPOE (n=41, mean 10.5±9.8 SD hours) and post-CPOE (n=48, mean 2.8±3.3 SD hours). After CPOE implementation, the percentage of cases during each period where caffeine was administered before 2 and 3 hours increased from 10 to 35% and 12 to 63%, respectively. Accuracy of gentamicin dose at the time of admission for 105 (pre-CPOE) and 92 (post-CPOE) VLBW infants was determined. In the pre-CPOE period, 5% overdosages, 8% underdosages, and 87% correct dosages were identified. In the post-CPOE, no medication errors occurred. Accuracy of gentamicin dosages during hospitalization at the time of suspected late-onset sepsis for 31 pre- and 28 post-CPOE VLBW infants was studied. Gentamicin dose was calculated incorrectly in two of 31 (6%) pre-CPOE infants. No such errors were noted in the post-CPOE period. Radiology response time decreased significantly from the pre-CPOE (n=107, mean 42±12 SD minutes) to post-CPOE (n=95, mean 32±16 SD minutes).

CONCLUSION: The implementation of CPOE in our NICU resulted in a significant reduction in medication turn-around times and medication errors for selected drugs, and a decrease in ancillary service (radiology) response time. In spite of the complexities of medication orders in pediatric populations, commercially available software programs for CPOE can successfully be adjusted to accommodate NICU needs and to beneficially impact clinical practice.

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References

  1. Kohn LT, Corrigan JM, Donaldson MS, editors To Err is Human: Building a Safer Health System. Washington, DC: National Academy Press; 1999.

  2. Kaushal R, Bates DW . Computerized physician order entry (CPOE) with clinical decision support systems (CDSSs). In: Markowitz A, editor. AHRQ publication 01-E058, U.S. Department of Health and Human Services, Rockford, MD, Evidence Report No. 43, Chapter 6; July 20 2001.

  3. Committee on Drugs and Committee on Hospital Care. American Academy of Pediatrics Prevention of medication errors in the pediatric inpatient setting. Pediatrics 1998;102:428–430.

  4. Bates DW, Leape LL, Cullen DJ, et al. Effects of computerized physician order entry and a team intervention on prevention of serious medication errors. JAMA 1998;280:1311–1316.

    Article  CAS  Google Scholar 

  5. Teich JM, Merchia PR, Schmiz JL, Kuperman GJ, Spurr CD, Bates DW . Effects of computerized physician order entry on prescribing practices. Arch Intern Med 2000;160:2741–2747.

    Article  CAS  Google Scholar 

  6. 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;6:313–315.

    Article  CAS  Google Scholar 

  7. Mekhjian HS, Kumar RR, Kuehn L, et al. Immediate benefits realized following the implementation of physician order entry at an academic medical center. J Am Med Inform Assoc 2002;9:529–9.

    Article  Google Scholar 

  8. Ash JS, Gorman PN, Hersh WR . Physician order entry in U.S. hospitals. Proc AMIA Symp 1998;235-9.

  9. Myers TF, Venable HH, Hansen JA . Computer-enhanced neonatology practice evolution in an academic medical center. J Perinatol 1998;18:S38–S44.

    CAS  PubMed  Google Scholar 

  10. Kaushal R, Barker KN, Bates DW . How can information technology improve patient safety and reduce medication errors in children's health care? Arch Pediatr Adolesc Med 2001;155:1002–1007.

    Article  CAS  Google Scholar 

  11. Kaushal R, Bates DW, Landrigan C, et al. Medication errors and adverse drug events in pediatric inpatients. JAMA 2001;285:2114–2120.

    Article  CAS  Google Scholar 

  12. Ahmad A, Teater P, Bentley TD, et al. Key attributes of a successful physician order entry system implementation in a multi-hospital environment. J Am Med Inform Assoc 2002;9:16–24.

    Article  Google Scholar 

  13. Leape LL, Brennan TA, Laird NM, et al. The nature of adverse events in hospitalized patients: results from the Harvard Medical Practice Study II. N Engl J Med 1991;324:377–380.

    Article  CAS  Google Scholar 

  14. Bates DW, Cullen D, Laird N, et al. Incidence of adverse drug events and potential adverse drug events: implication for prevention. JAMA 1995;274:29–34.

    Article  CAS  Google Scholar 

  15. Leape LL, Bates DW, Cullen DJ, et al. System analysis of adverse drug events. JAMA 1995;274:35–43.

    Article  CAS  Google Scholar 

  16. Leape LL, DJ, Clapp MD, et al. Pharmacist participation on physicians rounds and adverse drug events in the intensive care unit. JAMA 1999;282:267–270.

    Article  CAS  Google Scholar 

  17. Weiner M, Gress T, Thiemann DR, et al. Contrasting views of physicians and nurses about an inpatient computer-based provider order-entry system. JAMA 1999;6:234–244.

    CAS  Google Scholar 

  18. Fortescue EB, Kaushal R, Goldmann DA, Bates DW . Prevention strategies for medication errors and adverse drug events in pediatric inpatients. Pediatr Res 2001;860(Abstract):148S.

    Google Scholar 

  19. Fuller L, Menke JA, McClead RE . Evaluation of a computerized clinician order entry system in an NICU. Pediatr Res 2002;887(Abstract):153A.

    Google Scholar 

  20. Selker HP, Beshansky JR, Pauker SG, et al. The epidemiology of delays in a teaching hospital. Med Care 1989;27:112–129.

    Article  CAS  Google Scholar 

  21. Classen DC, Evans RS, Pestotnik SL, et al. The timing of prophylactic administration of antibiotics and the risk of surgical wound infections. N Engl J Med 1992;326:337–339.

    Article  Google Scholar 

  22. Kuperman GJ, Boyle D, Jha A, et al. How promptly are inpatients treated for critical laboratory results? J Am Med Info Assoc 1998;5:112–119.

    Article  CAS  Google Scholar 

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Cordero, L., Kuehn, L., Kumar, R. et al. Impact of Computerized Physician Order Entry on Clinical Practice in a Newborn Intensive Care Unit. J Perinatol 24, 88–93 (2004). https://doi.org/10.1038/sj.jp.7211000

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