Real-World Evidence in a Patient-Centric Digital Era

Real-world evidence (RWE) is evidence generated from real-world data outside randomized controlled trials, offering powerful tools for evidence generation. This book provides an overview of key analytical issues and best practices in RWE, with a special focus on the pharmaceutical industry. It covers statistical and data science techniques, bioethical considerations, regulatory standards, and compliance requirements. It also highlights emerging trends and provides guidelines for best practices. The book is a valuable reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts in the healthcare industry.

Format: Hardback
Length: 190 pages
Publication date: 21 July 2022
Publisher: Taylor & Francis Ltd

Real-world evidence (RWE) refers to evidence derived from real-world data, excluding data collected within randomized controlled trials (RCTs). As scientific advancements and methodologies progress, real-world data and their associated technologies emerge as powerful tools for generating evidence.

In the context of a patient-centric digital era, real-world evidence holds immense potential to meet patient needs and enhance healthcare outcomes. This book, titled "Real-World Evidence in a Patient-Centric Digital Era," offers perspectives, examples, and insights on the innovative application of real-world evidence to cater to patient requirements and improve healthcare delivery, particularly within the pharmaceutical industry.

This comprehensive volume provides an overview of key analytical issues and best practices related to real-world evidence generation. It delves into the development, methodologies, and other salient features of the statistical and data science techniques commonly employed to generate RWE. Furthermore, it offers a review of key topics and emerging trends in cutting-edge data science and health innovation.

Key Features:

Provides a comprehensive overview of statistical and analytic methodologies employed in real-world evidence generation, with a special focus on the pharmaceutical industry.

Examines timely topics of high relevance to the industry, including bioethical considerations, regulatory standards, and compliance requirements.

Highlights emerging and current trends in RWE and provides guidelines for best practices.

Illustrates methods through examples and use-case studies to demonstrate their impact.

Offers guidance on software choices and digital applications for successful analytics.

"Real-World Evidence in a Patient-Centric Digital Era" serves as a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts within the healthcare industry. By leveraging real-world data and advanced analytics, this book empowers practitioners to make evidence-based decisions and drive positive patient outcomes.

Weight: 540g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367861810