Generative Ai In Pharmacovigilance
Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English
| Size: 372.42 MB
| Duration: 1h 27m
Harnessing Artificial Intelligence for Drug Safety Surveillance
What you'll learn
Application of Generative AI in Pharmacovigilance
Generative AI Products and Capabilities
Regulatory aspects of adopting AI Based Solutions
Hallucination, Prompt Engineering, Open AI Platform, RAG
Requirements
Basics of Pharmacovigilance
Description
Course Overview: This comprehensive e-learning course introduces participants to the transformative potential of Generative AI within the pharmacovigilance sector. Designed for professionals in healthcare, pharmaceuticals, IT and related fields, this course explores how cutting-edge AI technologies can enhance drug safety monitoring and decision-making processes.Course Description: Join us for an in-depth exploration of Generative AI capabilities using industry-leading tools like ChatGPT, Microsoft Copilot, and Google Gemini. This course will cover essential topics such as the practical applications of AI in pharmacovigilance, regulatory considerations, and ethical implications of AI deployment in healthcare.Participants will gain hands-on experience with popular Generative AI products and learn to leverage these tools for tasks such as language translation, narrative writing, seriousness assessment of adverse drug reactions, data analysis, and text summarization. Through a mix of interactive tutorials, real-world case studies, and expert guidance, this course offers a unique opportunity to master prompt engineering, understand AI hallucinations, and navigate the complex landscape of AI regulation.What You Will Learn:Understanding Generative AI: Dive into the mechanics of AI models like ChatGPT and how they can be applied to pharmacovigilance.Practical Applications: Learn to apply AI tools for various pharmacovigilance tasks, enhancing efficiency and accuracy.Regulatory Compliance: Explore how to align AI implementations with global regulatory standards, ensuring compliant, safe, and effective AI usage.Ethical AI Use: Discuss the ethical concerns and considerations in deploying AI, focusing on patient safety and data privacy.Prompt Engineering and Hallucination: Master the art of crafting effective AI prompts and managing potential inaccuracies in AI-generated content.Who Should Enroll: This course is ideal for pharmacovigilance professionals, healthcare providers, regulatory affairs personnel, Information Technology and anyone interested in the intersection of AI technology and pharmaceutical safety.Enroll today to harness the power of Generative AI and revolutionize the field of pharmacovigilance through innovative, ethical, and effective technology applications.This course is for educational purpose only and is not a guideline to implement real-time. The audience is advised to perform due-diligence before applying any of the concepts at work or personal life.
Overview
Section 1: Introduction
Lecture 1 Course Introduction
Lecture 2 What is Generative AI
Lecture 3 Generative AI Capabilities in Pharmacovigilance - 1
Lecture 4 Generative AI Capabilities in Pharmacovigilance - 2
Lecture 5 Generative AI Products - Open AI ChatGPT
Lecture 6 ChatGPT Enterprise - Data Protection and Security Features
Lecture 7 Generative AI Product to use in this tutorial
Section 2: Use Case - Content Creation using Generative AI
Lecture 9 Narrative Writing with Generative AI - Theory
Lecture 10 Narrative Writing with Generative AI - Lab
Section 3: Use Case - Content Translation with Generative AI
Lecture 11 Language Translation in Pharmacovigilance - Theory
Lecture 12 Language Translation using ChatGPT and Google Gemini - Lab
Lecture 13 Language Translation using Generative AI - The Conclusion
Section 4: Use Case - Build a Custom GPT for Seriousness Assessment
Lecture 14 Seriousness Assessment - Build a Custom GPT (Theory)
Lecture 15 Seriousness Assessment - Build a Custom GPT (Lab)
Section 5: Use Case - Text Summarization with Generative AI
Lecture 16 Text Summarization with Good Pharmacovigilance Practices (Theory)
Lecture 17 Text Summarisation with Good Pharmacovigilance Practices (Lab)
Section 6: Hallucination in Generative AI
Lecture 18 Issues with Generative AI - Hallucination
Lecture 19 Consistency Vs Creativity - What is Important in Pharmacovigilance
Lecture 20 Prompt Engineering for Pharmacovigilance Professionals
Lecture 21 Content Grounding - Feed your data to Generative AI
Section 7: Considerations Before Implementing Generative AI Solutions
Lecture 22 New EU Law for Artificial Intelligence Applications
Section 8: Your Research Area - Test your Ideas and Clarify Your Questions
Lecture 23 Your Research Area
Section 9: Conclusion
Lecture 24 Conclusion and Thank you
Pharmacovigilance Professionals,IT Professionals,Decision Makers in IT and Pharmaceutical Industry
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