Real-World Evidence in the Pharmaceutical Landscape by Sunil Dravida

Real-World Evidence in the Pharmaceutical Landscape

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Description

In Real-World Evidence in the Pharmaceutical Landscape, life science industry experts Sunil Dravida and his co-authors have developed the first comprehensive overview of its kind on Real-World Data (RWD) in the pharmaceutical industry. The authors examine the challenges and opportunities in applying real-world data along the pharmaceutical continuum, from clinical development to medical affairs, health economics and outcomes, and marketing. They address the difficulties identifying the suitable data sources, ensuring compliance with privacy, security and regulatory requirements, and the big job of translating data into Real-World Evidence (RWE) to generate meaningful insights that can improve decision making by stakeholders and measurable outcomes that can enhance people’s health and well-being. This book is a must-read for those in the pharmaceutical industry involved with RWD, which includes just about every role, as healthcare is now dominated by the need for high-quality data that can enable better decision-making. This book is especially critical for those designing and leading RWD Centers of Excellence in pharmaceutical companies and the service providers supporting the RWD ecosystem.

About the Author

Sunil Dravida is a Managing Director at NTT Data Services leading the life sciences practice. He has over 30 years of extensive experience in executive management, data and analytics, platform engineering, artificial intelligence, and machine learning. management, data and analytics, platform engineering, artificial intelligence, and machine learning. He has worked with many of the world’s largest and fastest-growing pharmaceutical and biotech companies and has a relentless passion for improving patient outcomes by leading digital transformation in healthcare. Sunil is an expert in R&D, clinical and Real-World Data and works directly with clients on their RWD/RWE strategies and advanced analytics projects across various groups, including R&D, drug development, medical affairs, HEOR, and market access.

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