• J Am Med Inform Assoc · May 2013

    Review Meta Analysis

    Reduction in medication errors in hospitals due to adoption of computerized provider order entry systems.

    • David C Radley, Melanie R Wasserman, Lauren Ew Olsho, Sarah J Shoemaker, Mark D Spranca, and Bethany Bradshaw.
    • Institute for Healthcare Improvement, Cambridge, MA 02138, USA.
    • J Am Med Inform Assoc. 2013 May 1; 20 (3): 470-6.

    ObjectiveMedication errors in hospitals are common, expensive, and sometimes harmful to patients. This study's objective was to derive a nationally representative estimate of medication error reduction in hospitals attributable to electronic prescribing through computerized provider order entry (CPOE) systems.Materials And MethodsWe conducted a systematic literature review and applied random-effects meta-analytic techniques to derive a summary estimate of the effect of CPOE on medication errors. This pooled estimate was combined with data from the 2006 American Society of Health-System Pharmacists Annual Survey, the 2007 American Hospital Association Annual Survey, and the latter's 2008 Electronic Health Record Adoption Database supplement to estimate the percentage and absolute reduction in medication errors attributable to CPOE.ResultsProcessing a prescription drug order through a CPOE system decreases the likelihood of error on that order by 48% (95% CI 41% to 55%). Given this effect size, and the degree of CPOE adoption and use in hospitals in 2008, we estimate a 12.5% reduction in medication errors, or ∼17.4 million medication errors averted in the USA in 1 year.DiscussionOur findings suggest that CPOE can substantially reduce the frequency of medication errors in inpatient acute-care settings; however, it is unclear whether this translates into reduced harm for patients.ConclusionsDespite CPOE systems' effectiveness at preventing medication errors, adoption and use in US hospitals remain modest. Current policies to increase CPOE adoption and use will likely prevent millions of additional medication errors each year. Further research is needed to better characterize links to patient harm.

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