Real-World Evidence in a Patient-Centric Digital Era
Seiten
2022
Chapman & Hall/CRC (Verlag)
978-0-367-86181-0 (ISBN)
Chapman & Hall/CRC (Verlag)
978-0-367-86181-0 (ISBN)
This book will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, as well as policymakers and analysts in the healthcare industry.
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.
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.
Kelly H. Zou, Lobna A. Salem, Amrit Ray
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
| Erscheinungsdatum | 22.07.2022 |
|---|---|
| Reihe/Serie | Chapman & Hall/CRC Biostatistics Series |
| Zusatzinfo | 8 Tables, black and white; 17 Line drawings, black and white; 17 Illustrations, black and white |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 453 g |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
| Naturwissenschaften ► Biologie | |
| Technik | |
| ISBN-10 | 0-367-86181-X / 036786181X |
| ISBN-13 | 978-0-367-86181-0 / 9780367861810 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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