Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem 1st Edition

Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem, 1st Edition is a timely, practice-focused guide for clinicians, data scientists, healthcare executives, and policy makers navigating the intersection of data strategy and cutting-edge technology. Discover how data-driven AI transforms care delivery, operational efficiency, and patient outcomes across hospitals, clinics, and digital health platforms worldwide.

Start with clear, real-world explanations of data-centric approaches—why quality, provenance, and governance matter more than ever—and how they differ from model-first thinking. The book breaks down complex topics like federated learning, edge computing, IoT-enabled monitoring, and precision medicine into actionable insights you can use in system design, clinical decision support, and population health initiatives.

Gain practical frameworks for implementation: building interoperable EHR/EMR pipelines, ensuring privacy-compliant analytics under HIPAA and GDPR frameworks, and measuring ROI for AI investments. Case-driven examples illuminate challenges and solutions across North America, Europe, and Asia-Pacific health systems, making this resource globally relevant and locally applicable.

Whether you lead digital transformation, develop clinical algorithms, or manage health data, this edition equips you with the tools to turn messy data into measurable clinical value. Expect strategic checklists, deployment considerations, and guidance on ethical and regulatory risk mitigation—designed to accelerate adoption and safeguard patients.

Ready to modernize your health organization’s AI strategy? Add Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem, 1st Edition to your professional library and lead the next wave of data-powered, patient-centered care.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.