Buch, Englisch, 194 Seiten, Format (B × H): 156 mm x 234 mm
Buch, Englisch, 194 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Analytics and AI for Healthcare
ISBN: 978-1-041-38116-7
Verlag: CRC Press
As global healthcare faces rising costs and chronic disease, Physical AI emerges as a transformative solution. This book addresses a critical gap in literature, moving beyond high-level theory to provide a comprehensive roadmap for integration. By exploring the why, what, and how of physical AI, we offer a strategic blueprint to achieve superior clinical outcomes, economic sustainability, and enhanced patient satisfaction in an increasingly complex post-pandemic world.
The book first delivers a multidimensional look at the why, what, and how of the field. It examines historical evolution and cross-industry success to establish a solid foundation before exploring the current landscape of digital convergence and practical implementation. Second, the author focuses on economic and clinical sustainability. Unlike existing texts that dwell on abstract theory, this work prioritizes the healthcare value proposition. Readers will learn how to leverage AI to reduce workflow bottlenecks and improve patient access while maintaining a model that is financially viable and scalable for any environment. Finally, this book provides a blueprint for co-design and research. We identify critical success factors necessary to develop suitable AI, empowering readers to upskill in health informatics. This feature provides the tools to adapt relevant theories into high-quality research outcomes that stand up to the demands of a maturing digital health domain, ensuring that technology serves the user rather than complicating the care process.
This book is designed to benefit graduate and senior-level undergraduate students, non-traditional community-college learners, and certificate-seeking health informatics and public health students. Healthcare stakeholders, including physicians, medical administrators, CEOs, CIOs, consultants, and IT practitioners, will find guidance on designing effective systems. Additionally, governing bodies in Australia, the EU, and the US can leverage its strategies to advance computerized medical records and e-health agendas effectively.
Zielgruppe
Postgraduate, Professional Practice & Development, and Professional Reference
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Section I: The Why of Physical AI 1: The Rise of Physical AI 2: Physical AI in Industries Other Than Healthcare – Lessons and Key Considerations 3: Physical AI in Healthcare: Revolutionizing Patient Care and Clinical Decision-Making Section II: The What of Physical AI 4: AI, Analytics, and Action Execution in Physical AI for Healthcare 5 AI & Analytics, Action Execution for Physical AI in Healthcare Contexts 6: Physical AI: IoT, Sensory Input, Data Processing and Reasoning 7: Physical AI in Medical Imaging and NVIDIA Isaac for Healthcare Section III: The How of Physical AI 8: Physical AI for Aged Care: Robotics, Digital Twins, and Intelligent Care Ecosystems 9: Analysis of Physical AI in Acute Healthcare Contexts: Strengths, Opportunities, Weaknesses, Barriers, and Enablers 10: Physical AI for Rehabilitation: A Comprehensive Review of Technologies, Clinical Evidence, and Future Directions
