Search PubMedSearch

PubMed · 9075491

Computerized system for controlled-substances distribution.

Abstract

The source did not provide an abstract. Follow the original record for more information.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M W Way, M L McLendon, S Baxter. 1997-03-15. Computerized system for controlled-substances distribution.. https://doi.org/10.1093/ajhp%2F54.6.630

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Work patterns of ambulatory care pharmacists with access to electronic guideline-based treatment suggestions.

The effects of the electronic display of guideline-based, patient-specific treatment suggestions on pharmacist work patterns were studied. A total of 28 pharmacists at a hospital-based ambulatory care pharmacy were randomly assigned to intervention and control groups. The intervention group had access to electronic treatment suggestions for heart failure, ischemic heart disease, reactive airways disease, and uncomplicated hypertension, while the control group did not. Starting 9 and 19 months after the initial display of treatment suggestions, all pharmacists recorded the time they spent on a variety of activities, the purpose of each activity, and persons contacted during the activity; these observations were recorded in response to a pager-like device that randomly buzzed four times an hour. A total of 11,102 observations were recorded. Pharmacists in the intervention group spent significantly more of their time discussing information, advising and informing, and solving problems than pharmacists in the control group but significantly less of their time checking and filling prescriptions. Pharmacists in both groups completed a majority of their work alone, but pharmacists in the intervention group worked significantly less by themselves and significantly more with other pharmacy personnel, patients, and physicians and nurses than control-group pharmacists. The delivery of patient-specific information to pharmacists at the time of dispensing had a significant positive impact on pharmacist work patterns.

Clinical Pharmacy Information Systems

Stop the carts.

Nurses and pharmacists at the University of Utah Hospitals & Clinics successfully implement an automated medication distribution system to cut costs, and find they also create measurable process improvements.

Clinical Pharmacy Information Systems

Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.

CONTEXT: Adverse drug events (ADEs) are a significant and costly cause of injury during hospitalization. OBJECTIVES: To evaluate the efficacy of 2 interventions for preventing nonintercepted serious medication errors, defined as those that either resulted in or had potential to result in an ADE and were not intercepted before reaching the patient. DESIGN: Before-after comparison between phase 1 (baseline) and phase 2 (after intervention was implemented) and, within phase 2, a randomized comparison between physician computer order entry (POE) and the combination of POE plus a team intervention. SETTING: Large tertiary care hospital. PARTICIPANTS: For the comparison of phase 1 and 2, all patients admitted to a stratified random sample of 6 medical and surgical units in a tertiary care hospital over a 6-month period, and for the randomized comparison during phase 2, all patients admitted to the same units and 2 randomly selected additional units over a subsequent 9-month period. INTERVENTIONS: A physician computer order entry system (POE) for all units and a team-based intervention that included changing the role of pharmacists, implemented for half the units. MAIN OUTCOME MEASURE: Nonintercepted serious medication errors. RESULTS: Comparing identical units between phases 1 and 2, nonintercepted serious medication errors decreased 55%, from 10.7 events per 1000 patient-days to 4.86 events per 1000 (P=.01). The decline occurred for all stages of the medication-use process. Preventable ADEs declined 17% from 4.69 to 3.88 (P=.37), while nonintercepted potential ADEs declined 84% from 5.99 to 0.98 per 1000 patient-days (P=.002). When POE-only was compared with the POE plus team intervention combined, the team intervention conferred no additional benefit over POE. CONCLUSIONS: Physician computer order entry decreased the rate of nonintercepted serious medication errors by more than half, although this decrease was larger for potential ADEs than for errors that actually resulted in an ADE.

Clinical Pharmacy Information Systems