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    Blockchain Technology in Healthcare - Concepts,Methodologies, and Applications

    Blockchain Technology in Healthcare - Concepts,Methodologies, and Applications

    Nilayam Kumar KamilaSujata Dash Prof. Sujata Dash is a professor at the Information Technology School of Engineering and Technology, Nagaland University, Dimapur Campus, Nagaland, India. She has consistently delivered her services in teaching and guiding students for over three decades. She received the most prestigious Titular Fellowship from the Association of Commonwealth Universities, United Kingdom. She has worked as a visiting professor in the Computer Science Department of the University of Manitoba, Canada. She has published more than 200 technical papers in international journals/ proceedings of international conferences/ edited book chapters in reputed publishers like Springer, Elsevier, IEEE, IGI Global USA, Wiley, etc. She has ten patents to her credit and published many textbooks, monographs, and edited books. She is a life member of some international professional associations like ACM, IRSS, CSI, IMS, OITS, OMS, IACSIT, and IST, and is a senior member of IEEE. She is a reviewer and associate editor of around 15 international journals, including World Scientific, Bioinformatics, Springer, IEEE ACCESS, Inderscience, and ScienceDirect publications. She has received many national and international awards. In addition, she is a member of the editorial board of around ten international journals. She has visited many countries, delivered keynotes, invited speeches, and chaired special sessions at international conferences in India and abroad. Her research interests include biomedical & healthcare, machine learning, deep learning, data science, big data analytics, bioinformatics, and intelligent agents.

    "This volume reviews cutting-edge innovations in blockchain technology that are propelling the healthcare industry into a new era of efficiency and security. It brings 14 reviews contributed by experts in blockchain and Web3 technologies into a single volume. Each contribution includes a summary for easy understanding and scientific references for advanced readers. Key Themes: Empowering Decentralized Healthcare: Learn about the future of decentralized healthcare, powered by blockchain, ensuring a seamless and patient-centric experience. Clinical Trials: Discover how blockchain is reshaping clinical trials, offering a glimpse into a future of optimized medical research. Data Security: Uncover the strategic use of blockchain in securing vital clinical trials data, ensuring confidentiality and integrity at every step. Blockchain-based Healthcare delivery: Delve into a comprehensive review of blockchain technology in the health sector, revealing its potential to transform healthcare systems with efficient and precise solutions. Predict, Prevent, and Protect: Understand how blockchain technology serves as a predictive tool, aiding in the prevention and control of the spread of COVID-19. This volume is a must-read for healthcare practitioners and administrators seeking to harness the power of blockchain in medicine and healthcare. It also provides information for researchers and business professionals who want to understand the innovative role of blockchain technology in the healthcare sector. Readership: Researchers, healthcare professionals and administrators, blockchain enthusiasts. Series Intro: This series features edited volumes on cutting edge technologies that are driving innovation in various professional and academic sectors. It covers commuting methods (such as AI and blockchain) and technologies (such as IoT and cloud computing). The goal of the series is to highlight new trends in business, innovation and research, from researchers and professionals of all levels around the world. Chapters focus on reviewing the technologies and exploring the advantages and use-cases in different scenarios." "This volume reviews cutting-edge innovations in blockchain technology that are propelling the healthcare industry into a new era of efficiency and security. It brings 14 reviews contributed by experts in blockchain and Web3 technologies into a single volume. Each contribution includes a summary for easy understanding and scientific references for advanced readers. Key Themes: Empowering Decentralized Healthcare: Learn about the future of decentralized healthcare, powered by blockchain, ensuring a seamless and patient-centric experience. Clinical Trials: Discover how blockchain is reshaping clinical trials, offering a glimpse into a future of optimized medical research. Data Security: Uncover the strategic use of blockchain in securing vital clinical trials data, ensuring confidentiality and integrity at every step. Blockchain-based Healthcare delivery: Delve into a comprehensive review of blockchain technology in the health sector, revealing its potential to transform healthcare systems with efficient and precise solutions. Predict, Prevent, and Protect: Understand how blockchain technology serves as a predictive tool, aiding in the prevention and control of the spread of COVID-19. This volume is a must-read for healthcare practitioners and administrators seeking to harness the power of blockchain in medicine and healthcare. It also provides information for researchers and business professionals who want to understand the innovative role of blockchain technology in the healthcare sector. Readership: Researchers, healthcare professionals and administrators, blockchain enthusiasts. Series Intro: This series features edited volumes on cutting edge technologies that are driving innovation in various professional and academic sectors. It covers commuting methods (such as AI and blockchain) and technologies (such as IoT and cloud computing). The goal of the series is to highlight new trends in business, innovation and research, from researchers and professionals of all levels around the world. Chapters focus on reviewing the technologies and exploring the advantages and use-cases in different scenarios."

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    description_of_book

    "This volume reviews cutting-edge innovations in blockchain technology that are propelling the healthcare industry into a new era of efficiency and security. It brings 14 reviews contributed by expert

    Informations supplémentaires

    Fournisseur

    Date de publication

    2023 Nov 28

    Auteurs-
    Nilayam Kumar KamilaSujata Dash Prof. Sujata Dash is a professor at the Information Technology School of Engineering and Technology, Nagaland University, Dimapur Campus, Nagaland, India. She has consistently delivered her services in teaching and guiding students for over three decades. She received the most prestigious Titular Fellowship from the Association of Commonwealth Universities, United Kingdom. She has worked as a visiting professor in the Computer Science Department of the University of Manitoba, Canada. She has published more than 200 technical papers in international journals/ proceedings of international conferences/ edited book chapters in reputed publishers like Springer, Elsevier, IEEE, IGI Global USA, Wiley, etc. She has ten patents to her credit and published many textbooks, monographs, and edited books. She is a life member of some international professional associations like ACM, IRSS, CSI, IMS, OITS, OMS, IACSIT, and IST, and is a senior member of IEEE. She is a reviewer and associate editor of around 15 international journals, including World Scientific, Bioinformatics, Springer, IEEE ACCESS, Inderscience, and ScienceDirect publications. She has received many national and international awards. In addition, she is a member of the editorial board of around ten international journals. She has visited many countries, delivered keynotes, invited speeches, and chaired special sessions at international conferences in India and abroad. Her research interests include biomedical & healthcare, machine learning, deep learning, data science, big data analytics, bioinformatics, and intelligent agents.

    ISBN

    9789815165197

    À propos des auteurs

    Nilayam Kumar Kamila
    Nilayam Kumar Kamila
      Nilayam Kumar Kamila
      Sujata Dash Prof. Sujata Dash is a professor at the Information Technology School of Engineering and Technology, Nagaland University, Dimapur Campus, Nagaland, India. She has consistently delivered her services in teaching and guiding students for over three decades. She received the most prestigious Titular Fellowship from the Association of Commonwealth Universities, United Kingdom. She has worked as a visiting professor in the Computer Science Department of the University of Manitoba, Canada. She has published more than 200 technical papers in international journals/ proceedings of international conferences/ edited book chapters in reputed publishers like Springer, Elsevier, IEEE, IGI Global USA, Wiley, etc. She has ten patents to her credit and published many textbooks, monographs, and edited books. She is a life member of some international professional associations like ACM, IRSS, CSI, IMS, OITS, OMS, IACSIT, and IST, and is a senior member of IEEE. She is a reviewer and associate editor of around 15 international journals, including World Scientific, Bioinformatics, Springer, IEEE ACCESS, Inderscience, and ScienceDirect publications. She has received many national and international awards. In addition, she is a member of the editorial board of around ten international journals. She has visited many countries, delivered keynotes, invited speeches, and chaired special sessions at international conferences in India and abroad. Her research interests include biomedical & healthcare, machine learning, deep learning, data science, big data analytics, bioinformatics, and intelligent agents.
      Sujata Dash Prof. Sujata Dash is a professor at the Information Technology School of Engineering and Technology, Nagaland University, Dimapur Campus, Nagaland, India. She has consistently delivered her services in teaching and guiding students for over three decades. She received the most prestigious Titular Fellowship from the Association of Commonwealth Universities, United Kingdom. She has worked as a visiting professor in the Computer Science Department of the University of Manitoba, Canada. She has published more than 200 technical papers in international journals/ proceedings of international conferences/ edited book chapters in reputed publishers like Springer, Elsevier, IEEE, IGI Global USA, Wiley, etc. She has ten patents to her credit and published many textbooks, monographs, and edited books. She is a life member of some international professional associations like ACM, IRSS, CSI, IMS, OITS, OMS, IACSIT, and IST, and is a senior member of IEEE. She is a reviewer and associate editor of around 15 international journals, including World Scientific, Bioinformatics, Springer, IEEE ACCESS, Inderscience, and ScienceDirect publications. She has received many national and international awards. In addition, she is a member of the editorial board of around ten international journals. She has visited many countries, delivered keynotes, invited speeches, and chaired special sessions at international conferences in India and abroad. Her research interests include biomedical & healthcare, machine learning, deep learning, data science, big data analytics, bioinformatics, and intelligent agents.
      Sujata Dash Prof. Sujata Dash is a professor at the Information Technology School of Engineering and Technology, Nagaland University, Dimapur Campus, Nagaland, India. She has consistently delivered her services in teaching and guiding students for over three decades. She received the most prestigious Titular Fellowship from the Association of Commonwealth Universities, United Kingdom. She has worked as a visiting professor in the Computer Science Department of the University of Manitoba, Canada. She has published more than 200 technical papers in international journals/ proceedings of international conferences/ edited book chapters in reputed publishers like Springer, Elsevier, IEEE, IGI Global USA, Wiley, etc. She has ten patents to her credit and published many textbooks, monographs, and edited books. She is a life member of some international professional associations like ACM, IRSS, CSI, IMS, OITS, OMS, IACSIT, and IST, and is a senior member of IEEE. She is a reviewer and associate editor of around 15 international journals, including World Scientific, Bioinformatics, Springer, IEEE ACCESS, Inderscience, and ScienceDirect publications. She has received many national and international awards. In addition, she is a member of the editorial board of around ten international journals. She has visited many countries, delivered keynotes, invited speeches, and chaired special sessions at international conferences in India and abroad. Her research interests include biomedical & healthcare, machine learning, deep learning, data science, big data analytics, bioinformatics, and intelligent agents.

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