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Advancing Pharmacy Service using Big Data – Are We Fully Utilising the Big Data’s Potential Yet?
Author(s) -
Hui-Qi See,
Jin-Ning Chan,
Shu-Jin Ling,
Shang-Cheng Gan,
CheeOnn Leong,
Chun Wu
Publication year - 2018
Publication title -
journal of pharmacy and pharmaceutical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.497
H-Index - 78
ISSN - 1482-1826
DOI - 10.18433/jpps29869
Subject(s) - pharmacy , big data , pharmacovigilance , health care , service (business) , pharmacist , data science , clinical pharmacy , clinical trial , medicine , computer science , business , pharmacology , data mining , marketing , family medicine , political science , drug , pathology , law
Big data is anticipated to have large implications in clinical pharmacy, in view of its potential in enhancing precision medicine and to avoid medication error. However, it is equally debatable since such a powerful tool may also disrupt the need of pharmacist in healthcare industry. In this article, we commented the contribution of Big Data in various aspects of clinical pharmacy including advancing pharmaceutical care service, optimising drug supplies, managing clinical trials, and strengthening pharmacovigilance. The future direction of the usage of Big Data related to clinical pharmacy will be discussed. This article is open to POST-PUBLICATION REVIEW. Registered readers (see “For Readers”) may comment by clicking on ABSTRACT on the issue’s contents page.

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