Open AccessPrescriptome analytics: an opportunity for clinical pharmacy
Author(s) -
Pascal Le Corre
Publication year - 2019
Publication title -
international journal of clinical pharmacy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.538
H-Index - 59
eISSN - 2210-7711
pISSN - 2210-7703
DOI - 10.1007/s11096-019-00900-9
Subject(s) - pharmacy , medicine , analytics , clinical pharmacy , predictive analytics , pharmacy practice , medical education , pharmaceutical care , data science , family medicine , computer science
Clinical pharmacists have unique opportunities to be more involved in prescriptome analytics to expand research horizon in clinical pharmacy as an academic discipline. The development of predictive analytics with machine learning algorithms could have the potential to redesign the way we care for patients in our institutions for a more personalized medication therapy.
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