Description

Book Synopsis

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

    Table of Contents

    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

RealWorld Evidence in a PatientCentric Digital

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    £99.75

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    RRP £105.00 – you save £5.25 (5%)

    Order before 4pm today for delivery by Tue 30 Jun 2026.

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

    15 in stock

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      Publisher: Taylor & Francis Ltd
      Publication Date: 8/3/2022 12:00:00 AM
      ISBN13: 9780367861810, 978-0367861810
      ISBN10: 036786181X

      Description

      Book Synopsis

      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

        Table of Contents

        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

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