Advancing Healthcare Through Data Driven Innovations
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Advancing Healthcare through Data-driven Innovations
The book emphasizes the role of data in driving healthcare transformation, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. It delves into the applications of big data analytics, unveiling valuable insights and offering real-time decision support to healthcare professionals and goes on to review the role of machine learning and artificial intelligence in enabling accurate diagnosis, personalized treatment recommendations, and predictive modeling. The book is an invaluable resource for healthcare professionals, researchers, policymakers, and technology enthusiasts alike. Its practical insights and perspectives empower stakeholders to leverage data-driven technologies effectively, thus fostering continuous improvements in patient care and shaping a brighter future for the healthcare industry as a whole.
Advancing Healthcare Through Data-Driven Innovations
"Advancing Healthcare through Data-Driven Innovations is a comprehensive and transformative guide that explores the immense potential of data-driven technologies to revolutionize the healthcare industry. This book covers a wide array of crucial topics, including data analytics, big data, machine learning, deep learning, health informatics, and blockchain, all of which play pivotal roles in improving healthcare delivery, decision-making processes, and ultimately, patient outcomes. Throughout the book, the authors emphasize the indispensable role of data in driving healthcare transformation, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. Notably, the book delves into the applications of big data analytics, unveiling valuable insights and offering real-time decision support to healthcare professionals. It goes even further to explore the power of machine learning and artificial intelligence, enabling accurate diagnosis, personalized treatment recommendations, and predictive modeling. An important aspect of the book lies in its exploration of health informatics and its emphasis on the significance of achieving interoperability to enhance healthcare delivery and streamline patient information management. Additionally, it delves into the potential of blockchain technology to ensure data integrity and safeguard patient privacy, a crucial consideration in today's interconnected world"--
Healthcare and Artificial Intelligence
Author: Bernard Nordlinger
language: en
Publisher: Springer Nature
Release Date: 2020-03-17
This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.