Ability of pharmacy clinical decision-support software to alert users about clinically important drug—drug interactions | Zendy

Kim Saverno | Zendy; Lisa E. Hines | Zendy; Terri Warholak | Zendy; Amy J. Grizzle | Zendy; Lauren Babits | Zendy; Courtney Clark | Zendy; Ann M. Taylor | Zendy; Daniel C. Malone | Zendy

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Ability of pharmacy clinical decision-support software to alert users about clinically important drug—drug interactions

Author(s) -

Kim Saverno,

Lisa E. Hines,

Terri Warholak,

Amy J. Grizzle,

Lauren Babits,

Courtney Clark,

Ann M. Taylor,

Daniel C. Malone

Publication year - 2010

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1136/jamia.2010.007609

Subject(s) - pharmacy , drug , clinical decision support system , drug drug interaction , clinical pharmacy , medicine , decision support system , software , pharmacology , computer science , data mining , family medicine , programming language

Pharmacy clinical decision-support (CDS) software that contains drug-drug interaction (DDI) information may augment pharmacists' ability to detect clinically significant interactions. However, studies indicate these systems may miss some important interactions. The purpose of this study was to assess the performance of pharmacy CDS programs to detect clinically important DDIs.

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