Improving Acceptance of Computerized Prescribing Alerts in Ambulatory Care
- 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
- Affiliations of the authors: Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA (NRS, ACS, DLS, DWB, TKG); Harvard Medical School, Boston, MA (NRS, DWB, TKG); Massachusetts College of Pharmacy and Health Sciences, Boston, MA (ACS); Information Systems, Partners HealthCare System, Wellesley, MA (ACS, DLS, JMF, BB, EGR, DWB); Department of Clinical Practice Evaluation, New York-Presbyterian Hospital, New York, NY (GJK)
- Correspondence and reprints: Tejal K. Gandhi, MD, MPH, Division of General Medicine, Brigham and Women's Hospital, 1620 Tremont Street, 3rd Floor, Boston, MA 02120; e-mail: <tgandhi{at}partners.org>
- Received 3 May 2005
- Accepted 21 September 2005
Abstract
Computerized drug prescribing alerts can improve patient safety, but are often overridden because of poor specificity and alert overload. Our objective was to improve clinician acceptance of drug alerts by designing a selective set of drug alerts for the ambulatory care setting and minimizing workflow disruptions by designating only critical to high-severity alerts to be interruptive to clinician workflow. The alerts were presented to clinicians using computerized prescribing within an electronic medical record in 31 Boston-area practices. There were 18,115 drug alerts generated during our six-month study period. Of these, 12,933 (71%) were noninterruptive and 5,182 (29%) interruptive. Of the 5,182 interruptive alerts, 67% were accepted. Reasons for overrides varied for each drug alert category and provided potentially useful information for future alert improvement. These data suggest that it is possible to design computerized prescribing decision support with high rates of alert recommendation acceptance by clinicians.
Footnotes
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Supported by grants from the Agency for Health Care Research and Quality (RO1-HS1169) and (2-T32-HS000020-18). The authors are grateful to Mike Sperling, Saverio Maviglia, MD, Irene Galperin, Lynn Volk, and Josh Peterson, MD, for their help in designing and implementing the drug alerts. For further information about our final knowledge base, please contact Diane Seger at dseger@partners.org.
