This Article  • Full text  • PDF  • Send to a friend  • Save in My Folder  • Save to citation manager  • Permissions  Citing Articles  • Contact me when this article is cited  Related Content  • Related letter  • Similar articles in this journal  Topic Collections  • Informatics/ Internet in Medicine  • Informatics, Other  • Quality of Care  • Patient Safety/ Medical Error  • Drug Therapy  • Adverse Effects  • Alert me on articles by topic  Social Bookmarking   What's this?

Thomas Issaac, MD, MPH, MBA; Joel S. Weissman, PhD; Roger B. Davis, ScD; Michael Massagli, PhD; Adrienne Cyrulik, MPH; Daniel Z. Sands, MD, MPH; Saul N. Weingart, MD, MPH

	Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings.

In reply

Rosenberg and colleagues used an innovative approach by incorporating laboratory results, test results, feedback from physicians, and self-reported patient data to improve alert acceptance rates in their electronic prescribing system. For certain medication alerts, they managed to achieve acceptance rates higher than 90%, suggesting that clinicians found these alerts highly useful. The "drug-disease" alerts, such as alerts to prescribers about hepatotoxic medications in patients with underlying liver disease, sound particularly promising, since they warn clinicians about patients who are most likely to experience an adverse drug event. We commend the work that Rosenberg and colleagues are performing and agree that other electronic prescribing systems should adopt similar strategies.

Sweiden and colleagues have also performed important work by identifying clinical . . . [Full Text of this Article]

AUTHOR INFORMATION


CiteULike    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter     What's this?

RELATED LETTER

Consider the Content of Drug-Drug Interaction Alerts
Michelle Sweidan, James F. Reeve, and Jonathan G. A. Dartnell
Arch Intern Med. 2009;169(14):1338.
EXTRACT | FULL TEXT