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Improving override rates for computerized prescribing alerts in ambulatory care. 2005
Nidhi R Shah, and
Andrew C Seger, and
Diane L Seger, and
Julie M Fiskio, and
Gilad J Kuperman, and
Barry Blumenfeld, and
Elaine G Recklet, and
David W Bates, and
Tejal K Gandhi
Brigham and Women's Hospital, Boston, MA, USA.
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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