Presented by
Management Forum
AI in Pharmacovigilance Training Course
In this exciting new course, gain an introduction into the transformative impact of artificial intelligence on drug safety and monitoring.
20 November 2024
+ 12 March 2025, 7 July 2025, 19 November 2025 »
from £299
- Format: Live online
- CPD: 3 hours for your records
- Certificate of completion
Course overview
This course will provide a comprehensive introduction to the transformative impact of artificial intelligence on drug safety and monitoring. This course covers the fundamentals of AI technology, its applications in pharmacovigilance and practical insights into leveraging AI tools for efficient adverse event reporting, signal detection and risk management. Through a mix of theoretical knowledge and practical examples, participants will gain the understanding of available AI solutions in pharmacovigilance practices as well as current regulatory advances.
This course is part of our Vigilance training course collection; for information on the basics of PhV, consider taking a look at our beginner-friendly Pharmacovigilance training course.
Benefits of attending
- Learn how AI can streamline pharmacovigilance processes, reducing manual effort and increasing productivity
- Discover AI's potential to improve the accuracy of adverse event detection and reporting
- Understand application of AI in signal detection
- Gain insights into how AI can help maintain and enhance compliance with regulatory requirements
- Stay updated with the latest trends and advancements in AI applications within the pharmaceutical industry
- Discover the ethical considerations and best practices for implementing AI in pharmacovigilance
Who should attend?
- Pharmacovigilance specialists
- Drug safety officers
- Regulatory affairs professionals
- Clinical research associates
- Medical affairs personnel
- Data scientists working in healthcare and pharmaceuticals
This course will cover:
Introduction to the basics of AI
- Key AI technologies: machine learning, natural language processing and automation
- Overview of AI and its relevance to pharmacovigilance
AI for adverse event detection and reporting
- AI methods for identifying adverse events from diverse data sources
- Case studies on successful AI implementations in adverse event reporting
AI for signal detection and risk management
- Utilising AI for signal detection and analysis
- Case studies on AI in signal detection
Regulatory landscape and compliance
- Understanding regulatory guidelines for AI in pharmacovigilance
- Ensuring AI applications meet regulatory standards
- Ethical considerations of AI use
Future trends and innovations
- Emerging AI technologies and their potential impact on pharmacovigilance
- Preparing for the future: adapting to AI advancements
Alina Panourgia
Composite Pharma
Alina Panourgia is an experienced QA/PV Auditor and Regulatory Affairs professional, with a career spanning various regions.
Alina started her career in SEA working at the manufacturing site leading Quality Control/Regulatory Affairs department. She still prepares companies for inspections and provides trainings.
Since relocating to the Middle East in 2015, Alina has worked as a freelancer, collaborating with UK, US and EU companies on PV projects. Additionally, Alina has overseen regulatory submissions and pharmacovigilance activities in the MENA, LATAM and CIS regions.
Alina is a frequent speaker at international forums, conferences and training programs, sharing her expertise on various topics in pharmacovigilance, regulatory affairs and quality improvements.
She has presented at GCC Regulatory Affairs/PV Summits, Drug Safety Symposiums and other significant industry events within MENA region.
NEW higher discounts for multiple bookings - bring your colleagues to make your training budget go further:
- 30% off the 2nd delegate*
- 40% off the 3rd delegate*
- 50% off the 4th delegate*
Please contact us for pricing if you are interested in booking 5 or more delegates
20 November 2024
Live online
09:00-12:30 UK (London) (UTC+00)
10:00-13:30 Paris (UTC+01)
04:00-07:30 New York (UTC-05)
Course code 15381
- GBP 299 349
- EUR 439 509
- USD 501 579
Until 16 Oct
- 3 hours of live online training
- Browser-based, no download usually required
- See presenters and interact with fellow attendees
- Download documentation and certification of completion
- Fair transfer and cancellation policy
Not ready to book yet?
for 7 days, no obligation
12 March 2025
Live online
09:00-12:30 UK (London) (UTC+00)
10:00-13:30 Paris (UTC+01)
05:00-08:30 New York (UTC-04)
Course code 15382
- GBP 299 349
- EUR 439 509
- USD 501 579
Until 05 Feb
- 3 hours of live online training
- Browser-based, no download usually required
- See presenters and interact with fellow attendees
- Download documentation and certification of completion
- Fair transfer and cancellation policy
Not ready to book yet?
for 7 days, no obligation
7 July 2025
Live online
09:00-12:30 UK (London) (UTC+01)
10:00-13:30 Paris (UTC+02)
04:00-07:30 New York (UTC-04)
Course code 15383
- GBP 299 349
- EUR 439 509
- USD 501 579
Until 02 Jun
- 3 hours of live online training
- Browser-based, no download usually required
- See presenters and interact with fellow attendees
- Download documentation and certification of completion
- Fair transfer and cancellation policy
Not ready to book yet?
for 7 days, no obligation
19 November 2025
Live online
09:00-12:30 UK (London) (UTC+00)
10:00-13:30 Paris (UTC+01)
04:00-07:30 New York (UTC-05)
Course code 15384
- GBP 299 349
- EUR 439 509
- USD 501 579
Until 15 Oct
- 3 hours of live online training
- Browser-based, no download usually required
- See presenters and interact with fellow attendees
- Download documentation and certification of completion
- Fair transfer and cancellation policy
Not ready to book yet?
for 7 days, no obligation
* Early booking discounts may not be combined with other discounts or offers. As such, the discounts for 2nd/3rd/4th delegates are based on the full price; and apply only when booking multiple delegates on the same date.
United Kingdom
- Vivian Hamza LTD
