Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review.

Journal: Journal of medical Internet research
PMID: 39753222

Abstract

BACKGROUND: Artificial intelligence (AI) applied to real-world data (RWD; eg, electronic health care records) has been identified as a potentially promising technical paradigm for the pharmacovigilance field. There are several instances of AI approaches applied to RWD; however, most studies focus on unstructured RWD (conducting natural language processing on various data sources, eg, clinical notes, social media, and blogs). Hence, it is essential to investigate how AI is currently applied to structured RWD in pharmacovigilance and how new approaches could enrich the existing methodology.

Authors

  • Stella Dimitsaki
    Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thermi, Thessaloniki, Greece. Electronic address: sdimitsaki@certh.gr.
  • Pantelis Natsiavas
  • Marie-Christine Jaulent
    INSERM UMRS 1142, Medicine Faculty, Pierre and Marie Curie University, Sorbonne Universities, Paris, France.

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