دانلود کتاب پذیرش هوش مصنوعی در مراقبت های بهداشتی صنعت 4.0 – مدل های کسب و کار نوآورانه و پیامدهای اشتغال پذیری

Healthcare is a strong pillar on which the growth and development of a nation stands. A well-equipped, accessible, responsive, and affordable healthcare system not only reduces the disease burden on nations, but also facilitates a more productive work- force that can contribute to the growth and development. The intention behind writing this book is to offer readers a broad understanding of howartificial intelligence (AI) is revolutionizing healthcarewithin the framework of Industry 4.0. The chapters’ objec- tives are to inform readers about the revolutionary potential of artificial intelligence (AI) in healthcare delivery, increase industry trends awareness, create awareness around adoption-related obstacles and ambiguities, foster stakeholder innovation and collaboration, and create sensitization for responsibly implemention of AI. Through offering perspectives on AI uses, obstacles, prospects, and practical instances, the sections aim to furnish readerswith the necessary understanding to maneuver through the swiftly changing terrain of AI-supported healthcare. This book fulfills a vital role by offering readers a thorough introduction to AI technology and its use in healthcare, giving them a firm grasp of how AI is changing healthcare administration, innovation, and delivery. The book aims to provide health- care professionals, policymakers, researchers, and tech enthusiasts with the knowl- edge and insights necessary to successfully navigate the complexities of AI in healthcare through in-depth discussions on AI adoption, challenges, opportunities, and ethical considerations. Achieving the desirable healthcare system is a complex endeavor that requires resource investment and multiple stakeholders to work cohe- sively and in coordination. Advancements in medical research, better infrastructure, skilled human resources, and facilitative policies are some of the key ingredients for effective healthcare. The use of AI technology significantly improves patient outcomes, expedites procedures, and boosts operational effectiveness in the delivery of healthcare. Moreover, it explores how AI might provide creative answers to these intricate problems, addressing major difficulties affecting the healthcare sector such as growing costs, access to care, and labor shortages. This book equips stakeholders to drive organizational change, make well-informed decisions, and improve health- care outcomes by promoting an innovative culture and emphasizing the transforma- tive potential of AI technologies. Additionally, it provides a framework for navi- gating ethical considerations responsibly, ensuring that AI adoption in healthcare is conducted with integrity while maintaining respect for patient rights and privacy. In summary, this book is essential for anyone interested in understanding the intersec- tion of AI and healthcare and its implications for the future of medicine and patient care. The advancement in digitalization and AI technologies offers many solutions and holds immense promise. In this book we capture some of theways in which the devel- opments in artificial intelligence are helping to transform clinical, operational, and administrativeworkflows and provide better patient care to the masses.We offermany use cases/examples of theways in whichAI has been used to strengthen health-related screening, diagnosis, and predictive healthcare. We also outline the future possibil- ities that are being explored to better leverage the AI developments for a more cost and time effective healthcare system that keeps the patient at its center.We also delve deep into the transformative power of AI and machine learning within the healthcare sector, exploring its potential to revolutionize patient outcomes and operational effi- ciency. From laying the groundwork by elucidating the complexities of healthcare infrastructure to exploring the profound impact of AI adoption in Industry 4.0, each chapter unfolds a narrative of innovation and possibility. We navigate through the intricate landscape of healthcare analytics, discussing AI’s evolution, functionalities, and applications across clinical, administrative, and financial domains.Moreover, we uncover the strategic implications of AI adoption, emphasizing the vital role of busi- ness model innovation in driving value creation and competitive advantage. Through real-world examples and strategic insights, this book not only highlightsAI’s positive impact on quality and accessibility but also addresses critical concerns surrounding policy, regulation, and ethical considerations. Join us on this journey to explore the intersection of AI and healthcare, where innovation meets humanity’s most pressing needs, shaping the future of healthcare delivery and patient care. Our idea is to make the chapters readable for practitioners, academicians, and policymakers who may be interested in identifying the current and potential uses of AI in healthcare. We explain the key terms and ideas simply, while recognizing the complexity of healthcare provision. We offer a balanced view of how technology is progressing and strengthening healthcare services, but we do not overlook the challenges that need attention.We recognize that challenges pertaining to infrastruc- ture, skilled human resources, etc., cannot be eliminated by the integration of AI into healthcare but acknowledge that leveraging AI can reduce this pressure. Patient centrality,we acknowledge, requires effective compilation, management, and transfer of patient and context data to the concerned healthcare provider. While the timely availability of this data is central to AI’s functioning and effectiveness, it poses crit- ical risks of data breaches and privacy invasion if used irresponsibly. This book delves into the complex dynamics surrounding the adoption of AI, covering every- thing from how it affects employability to the obstacles preventing its complete inte- gration, navigating the complexity of artificial intelligence’s position in healthcare, revealing the need for skill preparation in the face of technological breakthroughs, and highlighting the need for stakeholder collaboration to fully realize AI’s benefits. Each chapter reveals the complex web of opportunities and challenges influencing the future of healthcare delivery, from filling in talent shortfalls to resolving ethical issues. With its thoughtful analyses of the effects of AI adoption—from improved diagnostics to creative fixes—this book acts as a roadmap for responsible implemen- tation and well-informed decision-making in the rapidly changing field of healthcare Industry 4.0. The transformative roles of machine learning (ML) and natural language processing (NLP) showcase their ability to enhance diagnosis, treatment, and research through supervised and unsupervised learning techniques. From sentiment analysis for patient feedback to AI systems aiding inCOVID-19 diagnosis, real-world examples underscore ML’s potential to revolutionize patient care and reduce costs. However, amidst the promises of AI lies a landscape fraught with challenges such as data quality and legal considerations. As we navigate these complexities, the book advocates for a balanced approach, emphasizing the importance of robust regula- tions and ethical guidelines to safeguard patient health and privacy. From addressing concerns like privacy and bias to advocating for collaboration among stakeholders and international regulatory frameworks, this book serves as a guide for harnessing the benefits of AI while mitigating risks in the pursuit of human-centric healthcare access and outcomes. In acknowledging the many challenges of AI, we also discuss the solutions and possibilities that lie ahead. In closing, this book endeavors to serve as a beacon of knowledge and guidance, navigating the intricate intersection of artificial intelligence and healthcare Industry 4.0, collectively embarking on a journey towards a future where innovation, ethics, and collaboration shape the landscape of healthcare for the betterment of all.