Deep learning classification of drug-related problems from pharmaceutical interventions issued by hospital clinical pharmacists during medication prescription review: a large-scale descriptive retrospective study in a French university hospital
The deep neural network classifier used met the challenge of automatically classifying drug-related problems from pharmaceutical interventions from a large database without mobilising significant human resources. The use of such a classifier can lead to alerting caregivers about certain risky practices in prescription and administration, and triggering actions to improve patients' therapeutic outcomes.
Authors
- Ahmad Alkanj
- Erin Johns (ORCID: https://orcid.org/0000-0003-2218-1466)
- Julien Godet (ORCID: https://orcid.org/0000-0002-8470-0092)
- Bruno Michel (ORCID: https://orcid.org/0000-0001-5961-1584)
- B. Gourieux
Institutions
- Laboratoire de Biophotonique et Pharmacologie (FR)
- Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie (FR)
- Hôpitaux Universitaires de Strasbourg (FR)
- Laboratoire de pharmacologie et de toxicologie neurocardiovasculaire (FR)
- Université de Strasbourg (FR)
Publication Details
- Journal
- European Journal of Hospital Pharmacy
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1136/ejhpharm-2024-004139
- Citations
- 3
- Primary Topic
- Pharmaceutical Practices and Patient Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.03