The effect of computer-assisted prescription writing on emergency department prescription errors.

OBJECTIVE To determine whether computer-assisted prescription writing reduces the frequency of prescription errors in the emergency department (ED). METHODS A pre-post retrospective analysis was used to compare errors between handwritten (HW) and computer-assisted (CA) ED prescriptions. Prescriptions were reviewed for pharmacist clarifications. A clarification was defined as an error if missing information, incorrect information, incorrect dose, non-formulary medication, or illegibility was the reason for clarification. The HW and CA error rates were compared using odds ratios (ORs) with 95% confidence intervals (95% CIs). RESULTS During the pre-intervention period, there were 7,036 patient visits with 2,326 HW ED prescriptions filled for 1,459 patients. There were 91 clarifications, with a rate of 3.9%. There were 54 HW errors, for an error rate of 2.3%. During the post-intervention period, there were 7,845 patient visits with 1,594 CA prescriptions filled for 1,056 patients. There were 13 clarifications, with a clarification rate of 0.8%, and 11 errors, for a CA error rate of 0.7%. The CA prescriptions were substantially less likely to contain an error [OR 0.31 (95% CI = 0.10 to 0.36)] or to require pharmacist clarification [OR 0.19 (95% CI = 0.10 to 0.36)] than were the HW prescriptions. CONCLUSIONS Computer-assisted prescriptions were more than three times less likely to contain errors and five times less likely to require pharmacist clarification than handwritten prescriptions.

[1]  A. Geissbuhler Clinical information systems--what is the bottom line? , 1998, Journal of the American Medical Informatics Association : JAMIA.

[2]  F B Hu,et al.  Comparison of population-averaged and subject-specific approaches for analyzing repeated binary outcomes. , 1998, American journal of epidemiology.

[3]  S. Rothrock,et al.  Ketamine safety profile in the developing world: survey of practitioners. , 1996, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[4]  K. Wrenn,et al.  Appropriateness of vancomycin use in the emergency department. , 1998, Annals of emergency medicine.

[5]  P. Friedmann,et al.  Appropriateness of medication selection for older persons in an urban academic emergency department. , 1999, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[6]  R. Hayward,et al.  Estimating hospital deaths due to medical errors: preventability is in the eye of the reviewer. , 2001, JAMA.

[7]  G. Schiff,et al.  Computerized prescribing: building the electronic infrastructure for better medication usage. , 1998, JAMA.

[8]  C J McDonald,et al.  The effect on test ordering of informing physicians of the charges for outpatient diagnostic tests. , 1990, The New England journal of medicine.

[9]  P. O’Connor,et al.  Performance failure of an evidence-based upper respiratory infection clinical guideline. , 1999, The Journal of family practice.

[10]  S. Rothrock,et al.  Inadvertent ketamine overdose in children: clinical manifestations and outcome. , 1999, Annals of emergency medicine.

[11]  N. Dickey,et al.  Systems analysis of adverse drug events. , 1996, JAMA.

[12]  G. Faich,et al.  National adverse drug reaction reporting. 1984-1989. , 1991, Archives of internal medicine.

[13]  R. Ogilvie,et al.  Adverse drug reactions during hospitalization. , 1967, Canadian Medical Association journal.

[14]  Randall D. Cebul,et al.  You Can Lead a Horse to Water-Improving Physicians' Knowledge of Probabilities May Not Affect Their Decisions , 1995 .

[15]  J. Fox,et al.  Evaluation of computer support for prescribing (CAPSULE) using simulated cases , 1997, BMJ.

[16]  D. Bates,et al.  Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. , 1998, JAMA.

[17]  A G Mainous,et al.  An evaluation of statewide strategies to reduce antibiotic overuse. , 2000, Family medicine.

[18]  David L. Schriger,et al.  Implementation of clinical guidelines via a computer charting system: effect on the care of febrile children less than three years of age. , 2000, Journal of the American Medical Informatics Association : JAMIA.

[19]  M. D. Murray,et al.  Research Paper: Effects of Computer-based Prescribing on Pharmacist Work Patterns , 1998, J. Am. Medical Informatics Assoc..

[20]  T. Brennan,et al.  INCIDENCE OF ADVERSE EVENTS AND NEGLIGENCE IN HOSPITALIZED PATIENTS , 2008 .

[21]  G. Faich,et al.  Adverse-drug-reaction monitoring. , 1986, The New England journal of medicine.

[22]  N. Laird,et al.  Incidence of Adverse Drug Events and Potential Adverse Drug Events: Implications for Prevention , 1995 .

[23]  D. Bates,et al.  Systems analysis of adverse drug events. ADE Prevention Study Group. , 1995, JAMA.

[24]  L L Leape,et al.  Preventing medical injury. , 1993, QRB. Quality review bulletin.

[25]  T. Brennan,et al.  The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II. , 1991, The New England journal of medicine.

[26]  C. McDonald,et al.  Physician inpatient order writing on microcomputer workstations. Effects on resource utilization. , 1993, JAMA.