Improving Override Rates for Computerized Prescribing Alerts in Ambulatory Care

نویسندگان

  • Nidhi R. Shah
  • Andrew C. Seger
  • Diane L. Seger
  • Julie M. Fiskio
  • Gilad J. Kuperman
  • Barry Blumenfeld
  • Elaine G. Recklet
  • David W. Bates
  • Tejal K. Gandhi
چکیده

Computerized drug prescribing alerts can improve patient safety, but are often overridden because of poor specificity and alert overload. We developed a selective knowledge base of only clinically significant drug alerts and designated only critical-high severity alerts to be interruptive to clinician workflow (a tiered approach). Using this approach, we were able to achieve a 67% clinician accept rate for ambulatory computerized prescribing alerts.

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Improving Acceptance of Computerized Prescribing Alerts in Ambulatory Care

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عنوان ژورنال:
  • AMIA ... Annual Symposium proceedings. AMIA Symposium

دوره   شماره 

صفحات  -

تاریخ انتشار 2005