VIGI-4: Development of a Novel Pharmacovigilance Method Using ChatGPT

Eleftherios Teperikidis; Georgios Papazisis

doi:10.20944/preprints202404.0523.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 6 April 2024 / Approved: 8 April 2024 / Online: 8 April 2024 (11:16:12 CEST)

This study proposes an innovative pharmacovigilance approach, VIGI-4, leveraging ChatGPT Teams Pro version. Our method involves aggregating data from all phase 4 studies published in February 2024 to identify adverse reactions. These results are categorized by disease state alphabetically, demonstrating the method's capacity to generate structured and easily navigable outputs. The results section is tailored to exemplify the valuable, actionable insights attainable through our workflow. This research emphasizes the game-changing potential of integrating advanced technologies such as ChatGPT into pharmacovigilance, signaling a new era in safeguarding drug safety.

pharmacovigilance; adverse drug reactions; ChatGPT; artificial intelligence; phase 4 studies; drug safety

Medicine and Pharmacology, Pharmacology and Toxicology

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VIGI-4: Development of a Novel Pharmacovigilance Method Using ChatGPT

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