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

The course was an outstanding experience which exceeded my expectations. If you're looking to stay ahead in PV and understand the practical implications of AI technologies, I highly recommend this course. Huge thanks to the expert hosts who showcased their extensive PV, IT and regulatory expertise. Insights from the MHRA were particularly valuable, offering a pragmatic and collaborative regulatory perspective. – Sabita Mukherjee – COO, Essjay Solutions Ltd. UK

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 through RPA to AI
- AI and NLP in PV
- Compliance and management perspective on implementing intelligent automation
- Today’s PV interfaces and systems
- Near future PV IT developments
- Developing regulatory environment for AI in PV

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