| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH |
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Submitted on May 3, 2005
Accepted on September 21, 2005
Affiliation of the authors: 1 Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA; Harvard Medical School, Boston, MA; 2 Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA; Massachusetts College of Pharmacy and Health Sciences, Boston, MA; Information Systems, Partners HealthCare System, Wellesley, MA; 3 Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA; Information Systems, Partners HealthCare System, Wellesley, MA; 4 Information Systems, Partners HealthCare System, Wellesley, MA; 5 Department of Clinical Practice Evaluation, New York-Presbyterian Hospital, New York, NY; 6 Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA; Harvard Medical School, Boston, MA; Information Systems, Partners HealthCare System, Wellesley, MA
* To whom correspondence should be addressed.
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-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 6 month study period. Of these, 12,933 (71%) were non-interruptive 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.
This article has been cited by other articles:
 |
|
 |
|
  H. van der Sijs, J. Aarts, T. van Gelder, M. Berg, and A. Vulto Turning Off Frequently Overridden Drug Alerts: Limited Opportunities for Doing It Safely J. Am. Med. Inform. Assoc., July 1, 2008; 15(4): 439 - 448. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. Tamblyn, A. Huang, L. Taylor, Y. Kawasumi, G. Bartlett, R. Grad, A. Jacques, M. Dawes, M. Abrahamowicz, R. Perreault, et al. A Randomized Trial of the Effectiveness of On-demand versus Computer-triggered Drug Decision Support in Primary Care J. Am. Med. Inform. Assoc., July 1, 2008; 15(4): 430 - 438. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
P. M. Kilbridge and D. C. Classen The Informatics Opportunities at the Intersection of Patient Safety and Clinical Informatics J. Am. Med. Inform. Assoc., July 1, 2008; 15(4): 397 - 407. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. Eslami, A. Abu-Hanna, and N. F. de Keizer Evaluation of Outpatient Computerized Physician Medication Order Entry Systems: A Systematic Review J. Am. Med. Inform. Assoc., July 1, 2007; 14(4): 400 - 406. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
G. J. Kuperman, A. Bobb, T. H. Payne, A. J. Avery, T. K. Gandhi, G. Burns, D. C. Classen, and D. W. Bates Medication-related Clinical Decision Support in Computerized Provider Order Entry Systems: A Review J. Am. Med. Inform. Assoc., January 1, 2007; 14(1): 29 - 40. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. Judge, T. S. Field, M. DeFlorio, J. Laprino, J. Auger, P. Rochon, D. W. Bates, and J. H. Gurwitz Prescribers' Responses to Alerts During Medication Ordering in the Long Term Care Setting J. Am. Med. Inform. Assoc., July 1, 2006; 13(4): 385 - 390. [Abstract] [Full Text] [PDF]
|
|
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH |
