Leveraging Global Healthcare Data for Real-World Insights and Evidence Generation
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Beschreibung
This book is a comprehensive, groundbreaking exploration of how health data can drive evidence-based decision-making and improve healthcare outcomes, aligning closely with the principles of United Nations Sustainable Development Goal 3 (SDG 3): Good Health and Well-Being. By harnessing the power of health data, it supports global efforts to enhance healthcare access, reduce preventable mortality and strengthen disease prevention and management. With an interdisciplinary approach, the book blends advancements in analytics, cognitive science and real-world applications across academia, health systems, medical technology providers, device manufacturers and pharmaceutical companies. It addresses critical needs and gaps in data sources, regulation, healthcare decision-making, practice and patient outcomes.
Designed for global healthcare professionals, researchers, policymakers and industry leaders, Leveraging Global Healthcare Data for Real-World Insights and Evidence Generation serves as a definitive guide to harnessing the full potential of health data. Despite the vast amount of data generated daily, much remains underutilized or fragmented across systems. This book bridges that gap by offering practical insights, real-world case studies and best practices for optimizing data governance and utilization. A key strength is its emphasis on actionable evidence, moving beyond theoretical discussions to explore real-world solutions that support the SDG 3 objectives of reducing health disparities and improving patient outcomes. It examines key challenges and considerations in data-driven decision-making, while highlighting innovative strategies that integrate insights into clinical, operational and strategic frameworks, directly supporting the goal of stronger healthcare systems and more effective interventions.
This book is a comprehensive, groundbreaking exploration of how health data can drive evidence-based decision-making and improve healthcare outcomes, aligning closely with the principles of United Nations Sustainable Development Goal 3 (SDG 3): Good Health and Well-Being. By harnessing the power of health data, it supports global efforts to enhance healthcare access, reduce preventable mortality and strengthen disease prevention and management. With an interdisciplinary approach, the book blends advancements in analytics, cognitive science and real-world applications across academia, health systems, medical technology providers, device manufacturers and pharmaceutical companies. It addresses critical needs and gaps in data sources, regulation, healthcare decision-making, practice and patient outcomes.
Designed for global healthcare professionals, researchers, policymakers and industry leaders, Leveraging Global Healthcare Data for Real-World Insights and Evidence Generation serves as a definitive guide to harnessing the full potential of health data. Despite the vast amount of data generated daily, much remains underutilized or fragmented across systems. This book bridges that gap by offering practical insights, real-world case studies and best practices for optimizing data governance and utilization. A key strength is its emphasis on actionable evidence, moving beyond theoretical discussions to explore real-world solutions that support the SDG 3 objectives of reducing health disparities and improving patient outcomes. It examines key challenges and considerations in data-driven decision-making, while highlighting innovative strategies that integrate insights into clinical, operational and strategic frameworks, directly supporting the goal of stronger healthcare systems and more effective interventions.
Explores how health data can be leveraged to generate meaningful evidence, enhancing healthcare decisions and outcomes Provides discussion on evidence generation focusing on analytics, validation, value assessment and cognitive enhancement Shares practical examples and case studies emphasizing applied solutions rather than theoretical concepts
Autor*in
Xinxin Zhu
Themen in »Leveraging Global Healthcare Data for Real-World Insights and Evidence Generation«
Health data Real-world evidence Real-world data Medical data governance Healthcare analytics Data-driven clinical decision making SDG 3