Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides insights into developing data fusion and analytics for healthcare and integrating them into real-time environments. It explores concepts and theories of data fusion, IoT, and Big Data Analytics, investigates challenges and methodologies for integrating data from heterogeneous sources, and emphasizes the importance of these technologies in a post-Covid-19 world.

Format: Paperback / softback
Length: 298 pages
Publication date: 01 September 2022
Publisher: Elsevier Science & Technology

Implementing Smart Healthcare Systems through AI, IoT, and Blockchain presents a crucial exploration into the development of data fusion and analytics for healthcare, with a focus on their real-time implementation in addressing current issues. The book delves into diverse topics such as IoT, bio-inspired computing, big data, and evolutionary programming, while also examining various concepts and theories related to data fusion, IoT, and Big Data Analytics. It further investigates the challenges and methodologies involved in integrating data from diverse heterogeneous sources and analytical platforms within the healthcare sector.

What sets this book apart is its valuable insights into the implementation of a smart and intelligent healthcare system in the post-Covid-19 world. By leveraging enabling technologies like Artificial Intelligence, Internet of Things, and blockchain, the book aims to create a transparent, faster, secure, and privacy-preserved healthcare ecosystem for the masses.

The book begins by introducing the fundamental principles and technologies of AI, IoT, and blockchain, providing a solid foundation for the subsequent chapters. It then explores the role of data fusion and analytics in healthcare, highlighting their significance in improving patient outcomes, reducing healthcare costs, and enhancing the efficiency of healthcare systems.

The authors delve into various aspects of data fusion, including techniques such as data mining, machine learning, and natural language processing. They discuss the challenges associated with integrating data from different sources, such as medical records, wearable devices, and social media, and propose solutions to overcome these obstacles. The book also explores the role of IoT in healthcare, emphasizing its potential to enable remote monitoring, personalized healthcare, and real-time data collection.

Furthermore, the book discusses the application of big data analytics in healthcare, highlighting its ability to analyze large volumes of data and extract valuable insights. It explores the use of data visualization, data mining, and machine learning algorithms to identify patterns, predict outcomes, and optimize healthcare processes.

The authors also address the ethical and privacy concerns associated with the implementation of smart healthcare systems. They discuss the importance of ensuring data security, privacy preservation, and user consent in the collection and use of healthcare data. They propose various strategies and technologies to address these concerns, such as encryption, anonymization, and blockchain-based solutions.

In conclusion, Implementing Smart Healthcare Systems through AI, IoT, and Blockchain is a comprehensive and insightful book that provides valuable insights into the development of data fusion and analytics for healthcare. It explores the potential of enabling technologies like AI, IoT, and blockchain to revolutionize the healthcare industry and improve patient outcomes. The book is a must-read for researchers, practitioners, and policymakers interested in advancing the field of healthcare technology.

Dimension: 235 x 191 (mm)
ISBN-13: 9780323919166