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Big data in pharmacy practice: current use, challenges, and the future

Authors Ma C, Smith H, Chu C, Juarez D

Received 18 April 2015

Accepted for publication 3 June 2015

Published 6 August 2015 Volume 2015:4 Pages 91—99


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Professor Jonathan Ling

Carolyn Ma, Helen Wong Smith, Cherie Chu, Deborah T Juarez

Department of Pharmacy Practice, The Daniel K Inouye College of Pharmacy, University of Hawai'i at Hilo, Hilo, HI, USA

Abstract: Pharmacy informatics is defined as the use and integration of data, information, knowledge, technology, and automation in the medication-use process for the purpose of improving health outcomes. The term “big data” has been coined and is often defined in three V's: volume, velocity, and variety. This paper describes three major areas in which pharmacy utilizes big data, including: 1) informed decision making (clinical pathways and clinical practice guidelines); 2) improved care delivery in health care settings such as hospitals and community pharmacy practice settings; and 3) quality performance measurement for the Centers for Medicare and Medicaid and medication management activities such as tracking medication adherence and medication reconciliation.

Keywords: clinical pharmacy data base, pharmacy informatics, patient outcomes

Corrigendum for this paper has been published

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