PHARMACOVIGILANCE IN AI ENVIRONMENT

Introduction – PV in the AI Era 

Pharmacovigilance (PV) is evolving rapidly with the integration of Artificial Intelligence (AI) and Machine Learning (ML). Traditional PV workflows such as case intake, coding, signal detection, and reporting are now being enhanced by AI to deliver greater speed, accuracy, and compliance. 

The PVAI program prepares learners to understand and apply AI technologies in pharmacovigilance operations. It blends PV regulatory foundations with AI-driven innovations, enabling professionals to transition into next-generation drug safety roles. 

Course Overview 

• Course Name: Pharmacovigilance in AI Environment 
• Course Code: PVAI 
• Experience Level: Intermediate to Advanced 
• Qualification: Bachelor’s / Master’s in Life Sciences, Pharmacy, Nursing, Medicine, Public Health, or Data Science 
• Student Category: Drug Safety Associates, PV Specialists, Medical Reviewers, Clinical Data Managers, AI/ML Enthusiasts entering PV 
• Delivery Type: SIP – Self-Paced Online with Support 

Duration & Delivery 

• Course Duration: 8 weeks (140 hours) 

• Format: Self-Paced Online with Support (narrated lessons, readings, quizzes, and role-based tasks). 

 

Key Learning Objectives 

By completing this program, learners will: 

• Understand how AI integrates into PV workflows across clinical trials and post-marketing. 

• Explore automation in ICSR case intake, triage, and follow-up. 

• Learn how NLP supports narrative writing and literature monitoring. 

• Gain knowledge of AI-assisted MedDRA/WHO-DD coding. 

• Apply AI tools for signal detection, benefit–risk assessment, and risk management. 

• Examine AI-enabled PV databases such as Argus, ArisG, and Veeva Safety. 

• Learn compliance requirements (ICH-E2B, FDA, EMA, GDPR, HIPAA) for AI-driven PV. 

• Review case studies of AI-enabled pharmacovigilance in pharma and CROs. 

 

Who Should Take This Course 

• Drug Safety Associates (DSAs) & PV Specialists preparing for AI-enhanced roles. 

• Medical Reviewers & Scientists integrating AI into safety case review. 

• Clinical Data Managers expanding into PV automation. 

• Data Analysts / AI professionals entering pharma safety. 

• Career changers moving into intelligent PV roles. 

Benefits & Outcomes 

• Gain practical skills in AI-enabled pharmacovigilance workflows. 

• Automate case processing, coding, narratives, and reporting tasks. 

• Build readiness for AI-driven safety and compliance roles in pharma and CROs. 

• Enhance employability in digital PV and global safety operations. 

• Be prepared for the future of intelligent and automated drug safety systems. 

 

 Career Pathways After PVAI 

Graduates will be ready to pursue AI-enabled Pharmacovigilance roles in pharma, biotech, CROs, and regulatory organizations, including: 

Entry-Level Roles 

• Drug Safety Associate (DSA) 

• Pharmacovigilance Associate (PVA) 

• Case Processing Specialist 

• Medical Data Reviewer 

Mid-Level Roles 

• Signal Detection Analyst 

• Aggregate Report Specialist (PSUR/CIOMS) 

• Safety Operations Analyst 

• Risk Management Associate 

AI-Driven Specialist Roles 

• PV Automation Specialist 

• MedDRA Coding Analyst 

• Safety Systems and AI Workflow Analyst 

• RWE and AI Data Insights Specialist 

 

Post-Training RMS Support 

After completing PVAI, learners gain exclusive access to Qtech-Sol’s Resume Marketing Services (RMS)—designed to connect skilled candidates with hiring partners.
Support includes: 

• Resume and LinkedIn Optimization for AI-PV profiles 

• Mock Interviews and Skill Assessments 

• Market Intelligence and Job Strategy Sessions 

• Direct Resume Promotion to Partner Networks 

 

Program Components 

The PVAI program blends scientific knowledge with digital automation through the following modules: 

Core Pharmacovigilance Foundations (20 Lessons) 

1. Introduction to Drug Development and Pharmacovigilance – Understand how drug safety fits within the drug development lifecycle, from pre-clinical research to post-marketing monitoring. 

1. ICH-GCP and Global Safety Regulations – Learn the ethical, scientific, and operational standards guiding pharmacovigilance globally. 

1. Adverse Event and Serious Adverse Event (SAE) Concepts – Identify and classify AEs/SAEs with precision based on seriousness, causality, and expectedness. 

1. Case Processing Workflow – Follow end-to-end safety case handling procedures including data collection, validation, assessment, and reporting. 

1. MedDRA and WHO-DD Coding – Apply medical coding dictionaries for accurate AE classification and drug identification. 

1. Causality and Expectedness Assessment – Evaluate the likelihood of drug-event relationships and determine expected versus unexpected outcomes. 

1. Data Entry and Quality Checks in Safety Databases – Practice compliant data entry and perform quality reviews within Argus or ArisG systems. 

1. Narrative Writing and Case Summarization – Draft clear, regulatory-compliant narratives that summarize key case details. 

1. Signal Detection and Risk Management – Learn how to detect, assess, and monitor emerging drug safety signals. 

1. PSUR and PBRER Preparation – Understand the structure, timelines, and preparation of aggregate safety reports. 

1. CIOMS and E2B (R3) Reporting – Gain hands-on exposure to regulatory case submissions and data exchange standards. 

1. Audit Readiness and Quality Assurance – Build familiarity with audit processes, document control, and inspection practices. 

1. HIPAA and Data Privacy Compliance – Ensure confidentiality and integrity of patient data in all PV activities. 

1. SAE Reconciliation and Data Integrity – Learn to match and validate safety data between clinical and PV systems. 

1. Vendor Oversight and Outsourced Safety Management – Manage third-party vendor deliverables and maintain compliance standards. 

1. Communication in PV Operations – Develop professional communication and documentation skills for internal and external stakeholders. 

1. CAPA in Pharmacovigilance – Understand deviation management, root-cause analysis, and implementing corrective actions. 

1. Introduction to Post-Market Surveillance – Monitor long-term product safety using spontaneous and observational data. 

1. Device and Combination Product Safety – Study safety monitoring requirements for devices and combination products. 

1. Global Regulatory Submissions (FDA, EMA, MHRA) – Learn regional submission procedures and expectations for safety data. 

For more information, please call us at +1 732.770.4100 / +1 732.207.4564 (WhatsApp) or email qpdc@qtech-solutions.com. Our course specialists will reach out to you promptly to assist you in taking the next steps toward your career goals.