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International Journal of Clinical Pharmacy

, Volume 41, Issue 6, pp 1394–1397 | Cite as

Prescriptome analytics: an opportunity for clinical pharmacy

  • Pascal A. Le CorreEmail author
Commentary
  • 130 Downloads

Abstract

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.

Keywords

Clinical data warehouse Clinical pharmacy Machine learning Prescriptome analytics 

Notes

Funding

None.

Conflicts of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Pôle Pharmacie, Service Hospitalo-Universitaire de PharmacieCHU de RennesRennesFrance
  2. 2.Laboratoire de Biopharmacie et Pharmacie Clinique, Faculté de PharmacieUniversité de Rennes 1RennesFrance
  3. 3.Univ Rennes, CHU Rennes, Inserm, EHESPIrset - UMR_S 1085RennesFrance

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