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The Healthcare Intelligence Ecosystem Real-Time Analytics and Connected Clinical Systems
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- FormatePub
- ISBN8235421219
- EAN9798235421219
- Date de parution17/04/2026
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurIoakim Ioakim
Résumé
The Healthcare Intelligence Ecosystem: Real-Time Analytics and Connected Clinical Systems explores the transformation of modern healthcare through interconnected data platforms, intelligent clinical workflows, and real-time decision support systems. The book examines how healthcare organizations can integrate electronic health records, clinical analytics, operational intelligence, and emerging digital technologies to create a unified ecosystem that improves patient outcomes and operational efficiency.
Covering topics such as healthcare data integration, predictive analytics, population health management, clinical interoperability, intelligent automation, and data governance, the book provides a comprehensive framework for designing and managing connected healthcare environments. It highlights practical approaches to leveraging real-time insights for care coordination, resource optimization, risk management, and personalized patient engagement.
Designed for researchers, healthcare professionals, technology leaders, and students, this book presents contemporary strategies, architectural models, and analytical methodologies that support the evolution of data-driven healthcare systems. By bridging clinical operations, digital innovation, and intelligent analytics, it offers valuable perspectives on building resilient, efficient, and patient-centered healthcare ecosystems for the future.
Covering topics such as healthcare data integration, predictive analytics, population health management, clinical interoperability, intelligent automation, and data governance, the book provides a comprehensive framework for designing and managing connected healthcare environments. It highlights practical approaches to leveraging real-time insights for care coordination, resource optimization, risk management, and personalized patient engagement.
Designed for researchers, healthcare professionals, technology leaders, and students, this book presents contemporary strategies, architectural models, and analytical methodologies that support the evolution of data-driven healthcare systems. By bridging clinical operations, digital innovation, and intelligent analytics, it offers valuable perspectives on building resilient, efficient, and patient-centered healthcare ecosystems for the future.