Overview

A practical orientation course for the next level of pharmacovigilance technology as it is being implemented across the industry. Over the last 7 years, major advances in artificial intelligence (AI) technology have reached the pharmacovigilance (PV) industry and are changing how we operate with ever-increasing speed. A new skillset for pharmacovigilance professionals is required.

The course is designed to give all senior pharmacovigilance professionals sufficient orientation to make an informed decision and use the new technology in a smart and compliant way.

The course is given by pharmacovigilance and IT veterans who are fearless in enabling sustainable innovation and have hands-on experience with AI tools in pharmacovigilance. A regulatory point of view is represented in panel discussions.

Participant Testimonials

It was simply fascinating to have so much going on in the AI PV world; I’m excited to gain more knowledge. – Shachi Patel – Associate, PV Operation, Global Case Management, Moderna, US

I think this was an excellent course. I have played around with ChatGPT at home outside the professional context and was impressed with its capabilities. This course was an eye-opener for me what AI can and will do in the future in PV. – Dr. Morten Pantke -

Featured topics

- PV journey from manual process through RPA to Generative AI
- Foundations of AI in PV: Supervised vs Unsupervised, NLP, LLMs…
- Ensuring compliance while using AI
- Today's PV interfaces and systems using AI
- PV AI barriers and challenges
- Developing regulatory environment for AI in PV
- Near future PV IT developments

Who should attend?

Pharmacovigilance and IT professionals with 2+ years of PV experience who wish to gain a practical overview of all AI technologies coming to the pharmacovigilance industry.

Learning objectives

- Understand how main AI methodologies work - machine learning, natural language processing, classifications, large language models, other ML
- Clearly explain pros and cons of AI models that are already being used in PV, including OpenAI ChatGPT (3.5 and 4.0), Google Gemini, Anthropic Claude 2, MS Copilot etc.
- Identify and manage risks to your data security, data privacy, bias and ethical concerns
- Discuss the management perspective and challenges - people, skills, governance, audits, and compliance
- Review what today's PV IT platforms deliver in terms of implementations, AI, and automation, including major systems such as Oracle Argus, IQVIA IVP, RxLogix, LifeSphere by ArisGlobal etc.
- Brainstorm what would be the perfect PV IT intelligent system of the future
- Roadmap for successful AI implementation in your PV system

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Artificial Intelligence in Pharmacovigilance