Literature DB >> 15064288

A trial of automated safety alerts for inpatient digoxin use with computerized physician order entry.

William L Galanter1, Audrius Polikaitis, Robert J DiDomenico.   

Abstract

OBJECTIVE: Automated clinical decision support (CDS) has shown promise in improving safe medication use. The authors performed a trial of CDS, given both during computerized physician order entry (CPOE) and in response to new laboratory results, comparing the time courses of clinician behaviors related to digoxin use before and after implementation of the alerts.
DESIGN: Alerts were implemented to notify of the potential risk from low electrolyte concentrations or unknown digoxin or electrolyte concentrations during CPOE. Alerts were also generated in response to newly reported hypokalemia and hypomagnesemia in patients given digoxin. MEASUREMENTS: Clinician responses to the alerts for six months were compared with responses to similar situations for six months prior to implementation.
RESULTS: During CPOE, checking for unknown serum values increased after implementation compared with control at one hour: 19% vs. 6% for digoxin, 57% vs. 9% for potassium, and 40% vs. 12% for magnesium as well as at 24 hours (p < 0.01 for all comparisons). Electrolyte supplementation increased with newly reported hypokalemia and hypomagnesemia after implementation at one hour: 35% vs. 6% and 49% vs. 5% for potassium and magnesium, respectively, as well as at 24 hours (p < 0.01 for all comparisons). During CPOE, supplementation for hypokalemia was not improved, whereas supplementation for hypomagnesemia improved at one hour (p < 0.05).
CONCLUSION: Overall, the alerts improved the safe use of digoxin. During CPOE, alerts associated with missing levels were effective. For hypokalemia and hypomagnesemia, the alerts given during CPOE were not as effective as those given at the time of newly reported low electrolytes.

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Year:  2004        PMID: 15064288      PMCID: PMC436074          DOI: 10.1197/jamia.M1500

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  22 in total

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  17 in total

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Review 4.  What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior?

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8.  A pilot test of a tailored mobile and web-based diabetes messaging system for adolescents.

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9.  A trial of automated decision support alerts for contraindicated medications using computerized physician order entry.

Authors:  William L Galanter; Robert J Didomenico; Audrius Polikaitis
Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

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