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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.
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.
