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AI for Pharmacovigilance and Drug Safety Monitoring Fundamentals
"AI for Pharmacovigilance and Drug Safety Monitoring Fundamentals" explores how AI is used to automate adverse event detection, signal processing, and real-time monitoring. Participants learn how to train and validate models using EHRs, reports, and social data. Cybersecurity is critical for ensuring the integrity and privacy of patient-related inputs. The course discusses protecting AI pipelines from tampering or biased data sources that could compromise patient safety and compliance.
Provider Information
Tonex, Inc.
6275 W. Plano Parkway, Suite 500
Plano, TX 75093
Course Overview
None
Learning Objectives
- Understand the application of AI in pharmacovigilance and drug safety monitoring.
- Analyze how AI enhances adverse event detection and signal management.
- Evaluate the effectiveness of AI in real-world data analysis for drug safety.
- Identify key AI techniques used for automated safety reporting and trend analysis.
- Discuss the cybersecurity challenges of handling sensitive patient data and preventing AI model poisoning in pharmacovigilance systems.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.