Prescriptome analytics an opportunity for clinical pharmacy

Pascal A Le Corre (1, 2, 3)

1 Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Ponchaillou]
2 Irset - Institut de recherche en santé, environnement et travail
3 EHESP - École des Hautes Études en Santé Publique [EHESP]

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.

Mots clés: Prescriptome analytics; Clinical data warehouse; Clinical pharmacy; Machine learning

Domaines: Sciences du Vivant [q-bio]; Sciences pharmaceutiques

Pascal A Le Corre. Prescriptome analytics an opportunity for clinical pharmacy. International Journal of Clinical Pharmacy, 2019, 41 (6), pp.1394-1397. ⟨10.1007/s11096-019-00900-9⟩. ⟨hal-02304999⟩