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Clinicians' assessments of electronic medication safety alerts in ambulatory care
Saul N Weingart1, Brett Simchowitz, Lawrence Shiman
1Center for Patient Safety, Dana-Farber Cancer Institute, 44 Binney St, Boston, MA 02115, USA. saul_weingart@dfci.harvard.edu
Background:
While electronic prescribing (e-prescribing) systems with drug interaction and allergy alerts promise to improve medication safety in ambulatory care, clinicians often override these safety features. We undertook a study of respondents' satisfaction with e-prescribing systems, their perceptions of alerts, and their perceptions of behavior changes resulting from alerts.
Methods:
Random sample survey of 300 Massachusetts ambulatory care clinicians who used a commercial e-prescribing system.
Results:
A total of 184 respondents completed the survey (61%). Respondents indicated that e-prescribing improved the quality of care delivered (78%), prevented medical errors (83%), and enhanced patient satisfaction (71%) and clinician efficiency (75%). In addition, 35% of prescribers said that electronic alerts caused them to modify a potentially dangerous prescription in the last 30 days. They suggested that alerts also led to other changes in clinical care: counseling patients about potential reactions (49% of respondents), looking up information in medical references (44%), and changing the way a patient was monitored (33%). Altogether, 63% of clinicians reported taking action other than discontinuing or modifying an alerted prescription in the previous month in response to alerts. Despite these benefits, fewer than half of respondents were satisfied with drug interaction and allergy alerts (47%). Problems included alerts triggered by discontinued medications (58%), alerts that failed to account for appropriate drug combinations (46%), and excessive volume of alerts (37%).
Conclusion:
Although clinicians were critical of the quality of e-prescribing alerts, alerts may lead to clinically significant modifications in patient management not readily apparent based on "acceptance" rates.
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