Blockchain in Health Sciences (eBook)

Artikelnummer: 978-1-394-33603-6
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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The book provides a comprehensive understanding of how blockchain technology can revolutionize healthcare by improving patient outcomes, enhancing data privacy, and driving innovative solutions to industry challenges.

Blockchain in Health Sciences is an essential roadmap for navigating the complex landscape of blockchain technology in healthcare. From foundational concepts to real-world applications, this book empowers understanding to harness the potential of blockchain to improve patient outcomes, enhance data privacy, and optimize healthcare delivery. Delve into the integration of blockchain with the Internet of Things and AI to uncover groundbreaking solutions for challenges faced by the healthcare industry. Gain insights into the regulatory and ethical implications of blockchain in healthcare, ensuring responsible and effective implementation. Each chapter unveils the current uses of blockchain in drug discovery, drug and device tracking, real-world data collection, and increased patient engagement, used to unlock opportunities to advance health sciences research. This book is an essential guide for readers exploring opportunities to empower and enable data in health science research.

Readers will find the volume:

  • Introduces the fundamentals of blockchain and its integration with IoT in healthcare;
  • Provides practical applications across patient records, drug supply chains, and genomics research;
  • Explores the synergy of AI, IoT, and blockchain for unprecedented healthcare advancements.

Audience

Healthcare professionals, researchers, policymakers, IT experts, and anyone interested in the future of healthcare.

The book provides a comprehensive understanding of how blockchain technology can revolutionize healthcare by improving patient outcomes, enhancing data privacy, and driving innovative solutions to industry challenges.

Blockchain in Health Sciences is an essential roadmap for navigating the complex landscape of blockchain technology in healthcare. From foundational concepts to real-world applications, this book empowers understanding to harness the potential of blockchain to improve patient outcomes, enhance data privacy, and optimize healthcare delivery. Delve into the integration of blockchain with the Internet of Things and AI to uncover groundbreaking solutions for challenges faced by the healthcare industry. Gain insights into the regulatory and ethical implications of blockchain in healthcare, ensuring responsible and effective implementation. Each chapter unveils the current uses of blockchain in drug discovery, drug and device tracking, real-world data collection, and increased patient engagement, used to unlock opportunities to advance health sciences research. This book is an essential guide for readers exploring opportunities to empower and enable data in health science research.

Readers will find the volume:

  • Introduces the fundamentals of blockchain and its integration with IoT in healthcare;
  • Provides practical applications across patient records, drug supply chains, and genomics research;
  • Explores the synergy of AI, IoT, and blockchain for unprecedented healthcare advancements.

Audience

Healthcare professionals, researchers, policymakers, IT experts, and anyone interested in the future of healthcare.

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VerlagWiley
EinbandPDF
Erscheinungsjahr2025
Seitenangabe496 S.
AusgabekennzeichenEnglisch
Masse15'997 KB
Auflage1. Aufl.
PlattformPDF
AutorChaudhary, Aryan (Hrsg.) / Singh, Rashmi (Hrsg.) / Agarwal, Gaurav (Hrsg.)

Über den Autor Aryan (Hrsg.) Chaudhary

Aryan Chaudhary, the Chief Scientific Advisor at BioTech Sphere Research, India, is a prominent figure in the healthcare and technology landscape, celebrated for his groundbreaking contributions and innovative leadership. Formerly the Research Head at Nijji HealthCare Pvt Ltd, he has demonstrated unparalleled expertise in leveraging revolutionary technologies, including artificial intelligence, deep learning, IoT, cognitive technology, and blockchain, to reshape the healthcare industry. His extensive body of work includes influential academic papers on public health and digital health, published in prestigious international journals. Recognized for his exceptional contributions, he has received prestigious accolades such as the "Most Inspiring Young Leader in Healthtech Space 2022" by Business Connect. His influence extends to senior memberships in various international science associations, showcasing his impact in the field. He was recently appointed as the Chair for an ACM professional chapter and nominated as a member of the ACM U.S. Technology Policy Committee (USTPC) in the AI & Algorithms Division. Additionally, he has been elected as a regular fellow member of the International Organization for Academic and Scientific Development (IOASD) and admitted as a member of the International Association for Carbon Capture (MIACC). His influence further extends as a technical committee member of IEEE CTSoc- Consumer Systems for Healthcare and Wellbeing (CSH).Suvarna Pawar, PhD, is currently working as a Professor in the Department of Computer Science and Engineering at the MIT School of Computing at MIT Art, Design and Technology University, Pune, India. She has been in the teaching field for the last 19 years as a leading academician. She has worked in the capacity of head of department for over 15 years as well as a counselor and IPR mentor. She has supervised both undergraduate and postgraduate students along with supervising more than 20 postgraduates across various fields. She was a coordinator at the CDEEP Remote Center of Indian Institutes of Technology from its inception, where she conduct over 15 courses, each lasting two weeks. She has authored numerous publications and received several awards. She holds several design patents as well copyrights on recognized inventions. She has been providing solutions to various IT industries through consultancy in addressing industry-based problems. Her PhD is in Artificial Intelligence and ML using an IoT framework.

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