Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review
AI, along with structured RWD, constitutes a promising line of work for drug safety and pharmacovigilance. However, in terms of AI, some approaches have not been examined extensively in this field (such as explainable AI and causal AI). Moreover, it would be helpful to have a data preprocessing protocol for RWD to support pharmacovigilance processes. Finally, because of personal data sensitivity, evaluation procedures have to be investigated further.
Authors
- Marie‐Christine Jaulent
- Pantelis Natsiavas (ORCID: https://orcid.org/0000-0002-4061-9815)
- Stella Dimitsaki (ORCID: https://orcid.org/0000-0002-6356-9531)
Institutions
- Inserm (FR)
- Sorbonne Université (FR)
- Sorbonne Paris Cité (FR)
- Centre for Research and Technology Hellas (GR)
- Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-10-27
- DOI
- https://doi.org/10.2196/57824
- Citations
- 22
- Primary Topic
- Pharmacovigilance and Adverse Drug Reactions
- Type
- article
- Field-Weighted Citation Impact
- 7.71