Real-World Evidence in a Patient-Centric Digital Era

Kelly H. Zou, Lobna A. Salem, Amrit Ray

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English

Chapman & Hall/CRC
03 August 2022

Clinical trials; Epidemiology & medical statistics; Probability & statistics; Biology, life sciences; Pharmaceutical technology

Series: Chapman & Hall/CRC Biostatistics Series

Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a Patient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry.

This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation.

Features:

Provides an overview of statistical and analytic methodologies in real-world evidence to generate insights on healthcare, with a special focus on the pharmaceutical industry

Examines timely topics of high relevance to industry such as bioethical considerations, regulatory standards, and compliance requirements

Highlights emerging and current trends, and provides guidelines for best practices

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

Provides guidance on software choices and digital applications for successful analytics

Real-World Evidence in a Patient-Centric Digital Era will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts in the healthcare industry.

Edited by: Kelly H. Zou, Lobna A. Salem, Amrit Ray
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9780367861810
ISBN 10: 036786181X
Series: Chapman & Hall/CRC Biostatistics Series
Pages: 190
Publication Date: 03 August 2022
Audience: Professional and scholarly , General/trade , Undergraduate , ELT Advanced
Format: Hardback
Publisher's Status: Active

Preface: Real World Evidence and Digital Innovation to Combat Noncommunicable Diseases. 1. Real World Evidence Generation. 2. Applications of RWE for Regulatory Uses. 3. Ethics & Bioethics. 4. Real- World Data, Big Data and Artificial Intelligence: Recent Development and Emerging Trends in the European Union. 5. Patient centricity and Precision Medicine. 6. Health Information Technology. 7. Digital Health Technologies and Innovations. 8. Economic Analysis and Outcome Assessment. 9. Partnerships and Collaborations. 10. Global Perspective: China Big Data Collaboration to Improve Patient Care. 11. The Future of Patient-Centric Data-Driven Healthcare

Kelly H. Zou, Lobna A. Salem, Amrit Ray