2025-03-14 2025-03-14 , , 1,290 € plus tax Alexander Maur https://forum-institut.com/seminar/25072050-artificial-intelligence-in-pharmacovigilance/referenten/25/25_07/25072050-course-artificial-intelligence-in-pharmacovigilance_maur-alexander.jpg Artificial Intelligence in Pharmacovigilance

Join our interactive course to explore how AI is transforming pharmacovigilance. Take part in discussions, hands-on workshops, and case studies while diving into AI technologies, regulations, and their applications in drug safety. Register now to participate, share insights, and collaborate with peers!

Topics
  • Introduction to AI and its applications in pharmacovigilance
  • Legal and regulatory frameworks
  • AI to support rule-based (deterministic) PV tasks, including automated case intake, coding and data analysis
  • AI in non-deterministic PV tasks, including quality control and clinical context analysis
  • Workshops: GPT prompting and Large Language Models


Who should attend
This course will be conducted in English.

This course is tailored for professionals in the pharmaceutical industry involved in the planning, implementation, or use of AI technologies in pharmacovigilance. Basic knowledge and/or practical experience in pharmacovigilance are required.
Aims and objectives
Artificial intelligence (AI) is driving innovation across industries, offering new opportunities to enhance efficiency in pharmacovigilance (PV) beyond traditional rule-based (deterministic) systems.

Currently, AI use in PV is still emerging. While promising, many applications face regulatory and validation hurdles. This seminar provides a clear and realistic perspective on what is achievable today, offering insights into current projects from Big Pharma and highlighting both opportunities and limitations. Participants will gain a solid understanding of essential AI concepts, regulatory frameworks, and practical use cases.

Through interactive discussions and hands-on workshops, including LLM-assisted case processing and GPT prompting, participants will learn how to effectively feed AI models with data and interact with generative AI tools. The focus is on identifying meaningful use cases and applying AI to streamline daily workflows.
Your benefit

This online course about AI in pharmacovigilance will cover:

  • Insights into real-world use cases of AI automation for PV tasks.
  • A solid understanding of the EU AI Act, GDPR, and their implications for AI implementation in PV.
  • A practical perspective on AI applications in PV-covering past experiences, current practices, and future trends.
  • Valuable knowledge exchange opportunities with peers and industry experts.
  • Hands-on experience in interactive workshops, including LLM-assisted case processing and GPT prompt engineering to optimise daily workflows.

Online course - Artificial Intelligence in Pharmacovigilance

Artificial Intelligence in Pharmacovigilance

Exploring Today, Shaping Tomorrow

Benefits
  • AI and its applications in pharmacovigilance
  • Includes pre-reading document on AI
  • Includes interactive workshops, real-world examples, and projects
  • Certified to ISO 9001 and ISO 21001 standards

Webcode 25072050

Book now

JETZT Buchen

Speakers


Everything at a glance

Appointment

10/07/2025

10/07/2025

Period

09:00-17:00 CEST
You are welcome to join the session 30 minutes before it begins.

09:00-17:00 CEST
You are welcome to join the session 30 minutes before it begins.
Venue

Fee
Your contact

Nadja Wolff
Conference Manager

+49 6221 500-696
n.wolff@forum-institut.de

Details

Join our interactive course to explore how AI is transforming pharmacovigilance. Take part in discussions, hands-on workshops, and case studies while diving into AI technologies, regulations, and their applications in drug safety. Register now to participate, share insights, and collaborate with peers!

Topics

  • Introduction to AI and its applications in pharmacovigilance
  • Legal and regulatory frameworks
  • AI to support rule-based (deterministic) PV tasks, including automated case intake, coding and data analysis
  • AI in non-deterministic PV tasks, including quality control and clinical context analysis
  • Workshops: GPT prompting and Large Language Models


Who should attend
This course will be conducted in English.

This course is tailored for professionals in the pharmaceutical industry involved in the planning, implementation, or use of AI technologies in pharmacovigilance. Basic knowledge and/or practical experience in pharmacovigilance are required.

Aims and objectives

Artificial intelligence (AI) is driving innovation across industries, offering new opportunities to enhance efficiency in pharmacovigilance (PV) beyond traditional rule-based (deterministic) systems.

Currently, AI use in PV is still emerging. While promising, many applications face regulatory and validation hurdles. This seminar provides a clear and realistic perspective on what is achievable today, offering insights into current projects from Big Pharma and highlighting both opportunities and limitations. Participants will gain a solid understanding of essential AI concepts, regulatory frameworks, and practical use cases.

Through interactive discussions and hands-on workshops, including LLM-assisted case processing and GPT prompting, participants will learn how to effectively feed AI models with data and interact with generative AI tools. The focus is on identifying meaningful use cases and applying AI to streamline daily workflows.

Your benefit

This online course about AI in pharmacovigilance will cover:

  • Insights into real-world use cases of AI automation for PV tasks.
  • A solid understanding of the EU AI Act, GDPR, and their implications for AI implementation in PV.
  • A practical perspective on AI applications in PV-covering past experiences, current practices, and future trends.
  • Valuable knowledge exchange opportunities with peers and industry experts.
  • Hands-on experience in interactive workshops, including LLM-assisted case processing and GPT prompt engineering to optimise daily workflows.

Detailed programme

09:00-17:00 CEST
You are welcome to join the session 30 minutes before it begins.

00:00

Pre-reading: Fundamentals of artificial intelligence
To ensure all participants are on the same page and maximise time for real-world examples and projects, you will receive a pre-reading document that covers the fundamentals of artificial intelligence and clarifies key terms and concepts.

08:45 - 09:00

Technical test
You are welcome to log in a little earlier to test your audio and video equipment before the event begins.

09:00

FORUM

Welcome and introduction

09:15

Wei Wannhoff

What is artificial intelligence?
  • Automation, artificial intelligence and human intelligence
  • Machine learning (ML) and deep learning
  • Natural language processing (NLP) and large language model (LLM)
  • Quiz
  • Generative AI
  • Practical exercise GenAI

10:30 - 10:45 Coffee break


10:45

Alexander Maur

Legal background
  • The EU AI Act
  • The general data protection regulation (GDPR)
  • Local data protection regulations
  • Legal requirements for the validation of IT systems
  • Regulatory implications for pharmacovigilance activities
  • Implementation of AI: Responsibilities and organisational requirements

11:45

Wei Wannhoff

Introduction to AI in PV
  • Discussion: What PV activity do you would like to automate and what is feasible now?
  • Scope in PV
  • Limitations and concerns
  • Currently feasible technologies and ongoing projects

12:30 Lunch


13:30

Dr Ulrich Vogel

How AI can assist with deterministic PV tasks - automation
  • Rule-based automation vs machine learning
  • Decision principles for selecting a fit-for-purpose approach
  • Balance complexity, human involvement, and return on investment
  • Programmatic data analysis - AI as a companion coder
  • Other examples that worked, and examples that failed
  • Discussion

14:30

Wei Wannhoff

Workshop: Large Language Model in case intake/processing
  • ICSR management: text extraction, structuring and output
  • Case intake/processing supported by LLM
  • Comparison of efficient with and without LLM support

15:30 Coffee break


15:45

Dr Ulrich Vogel

How AI can assist with non-deterministic PV task - judgments and associations
  • AI as a QC companion
  • Placing observations into clinical context
  • AI creativity - when and how it will fit the PV space
  • Discussion: What are potential pitfalls, how can they be avoided

16:45

All speakers

Discussion and key takeaways

17:00 Course ends


Further information

Tailored Training for Your Company: In-House Seminars

  • Online, on-site, and hybrid formats
  • Available in German and English
  • Customised programmes

    Would you like to cost-efficiently train multiple employees in your company on a pharmacovigilance topic? This seminar is an example of our proven in-house training programmes. Whether you need an existing seminar concept, a specialised topic, or a tailored training for your organisation, we are here to support you!

    I would be delighted to plan your in-house training with you. Please feel free to contact me by phone or email. I look forward to your enquiry!

    Nadja Wolff
    Conference Manager Pharma/Healthcare
    n.wolff@forum-institut.de
    Phone: +49 6221 500-696

  • Technical requirements

    You need a reliable Internet connection to take part in our online events. To have the best possible learning experience, we recommend that you use the latest version of the Microsoft Edge or Google Chrome browsers. You will need a headset, loudspeaker or telephone to play the audio. Further information is available here. Please check beforehand that your microphone or headset and camera are working properly. Do not access our services from a VPN since there are issues with the audio over such connections.

    We have integrated Zoom video conferencing software into our Learning Space for our online training courses. If you are not authorised to use Zoom, please get in touch with us so we can make alternative arrangements for you to take part in our online training.

    Access to and procedure for online events

    Once you have registered for an event, we will send you the access information for your customer portal. Click here to log in to the customer portal using your email address and password. Please ensure you can access the customer portal before the day of the event.

    All important or additional information and personal documents are available in your personalised customer portal. This is also where you start your online courses. If you do not have access to the customer portal yet, you can easily register here.

    On the day of the event, you kick off your online training in the customer portal by clicking ‘Participate’ directly in the respective event. You will then be redirected to the Learning Space.

    Learn more about our online events here.

    Free pre-meeting and technology check

    You can attend one of our pre-meetings and explore our Learning Space free of charge. Registration is not required. You can find available dates for a pre-meeting in your customer portal. Click the green ‘Participate’ button in the pre-meeting in the customer portal and you will be redirected to the Learning Space.

    The pre-meeting gives you the opportunity to explore our Learning Space and to familiarise yourself with the technology to start off your online training on the right foot. This is a non-binding offer for all our customers and not a prerequisite for participation. If a pre-meeting date does not suit you but you would still like a technology check, please contact us.

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    List of abbreviations

    Many abbreviations are used in all regulatory areas. Download the list of the most important ones.

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    Abbreviations, Glossary
    We guarantee the highest quality

    We are now officially certified to ISO 9001 and ISO 21001 standard.

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    Testimonials

    I was a great introduction into thetopic, explaining basic terminologyand modes of working of AI. Alsopractical examples were providedand existing commercializedsolutions. I liked the aspect of legalframework and ethics. The slidesare helpful to follow up certaintopics later.

    Gives me an overview of thediff erent application of AI in PV.