Pharma Tech Essentials - Understanding AI, Data and Digital Systems in Drug Safety  (Paperback, Gaurav Goel)

The rise of AI and automation is changing the PV landscape fast. Systems don't just store information anymore. They generate content, make predictions, and recommend actions. The traditional boundaries between IT and domain work are blurring, turning modern PV systems into active participants in safety workflows. Domain experts have now to actively interact with, understand, and critically evaluate these systems. As digital systems, automation, and AI redefine how drug safety is practiced, professionals across the PV spectrum are being asked to understand technologies they were never trained for. Pharma Tech Essentials is your bridge between domain expertise and technological fluency. This guide breaks down complex topics, like data structures, cloud systems, APIs, AI and Machine Learning, into clear, relevant insights tailored for PV professionals. Whether you're a case processor, medical reviewer, scientist, manager, or safety transformation leader, this book will help you: Understand the technologies powering modern PV systems from first principles Ask smarter questions in vendor demos, AI discussions, and system audits Avoid common pitfalls in data handling, privacy, and system design Build confidence when working with IT, analytics, and automation teams From explaining Protected Health Information (PHI) and AI transparency to guiding vendor selection and audit readiness, this guide is packed with clarity, context, and practical wisdom. If you’ve ever thought, “I wish someone explained this tech stuff in plain English”, this book is for you.