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Digitization of Healthcare Data using Blockchain

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Bitcoin
blockchain
blockchain analytics
blockchain architecture
blockchain taxonomy
case study
Category=MB
Category=UYQ
challenges
consensus
counterfeit drug detection
cryptocurrency
data management
data sharing
decentralization
digital identity
distributed ledger
drug discovery
drug ledger
drug supply chain
EHR
epidemics
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
Ethereum
federated blockchain
framework
genomics
governance
health information exchange
healthcare
interoperability
medical data
nebula
online patient access
outbreak
pandemic
patient data access
pharmaceutical industry
PHR
privacy
private blockchain
public blockchain
security
smart contract
smart healthcare
supply chain management
surveillance
taxonomy
traceability
transparency
trust

Product details

  • ISBN 9781119791850
  • Weight: 454g
  • Dimensions: 10 x 10mm
  • Publication Date: 14 Jul 2022
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description

DIGITIZATION OF HEALTHCARE DATA USING BLOCKCHAIN

The book gives a detailed description of the integration of blockchain technology for Electronic Health Records and provides the research challenges to consider in various disciplines such as supply chain, drug discovery, and data management.

The aim of the book is to investigate the concepts of blockchain technology and its association with the recent development and advancements in the medical field. Moreover, it focuses on the integration of workflow strategies like NLP, and AI which could be adopted for boosting the clinical documentation and electronic healthcare records (EHR) usage by bringing down the physician EHR data entry. Also, the book covers the usage of smart contracts for securing patient records. Digitization of Healthcare Data Using Blockchain presents the practical implementations that deal with developing a web framework for building highly usable healthcare applications, a simple blockchain-powered EHR system.

Audience
Researchers in information technology, artificial intelligence, electronics engineering, medical informatics, as well as policymakers and healthcare providers and management systems.
About

T. Poongodi, PhD, is an associate professor in the Department of Computer Science and Engineering at Galgotias University, Delhi – NCR, India. She has more than 15 years of experience working in teaching and research.

D. Sumathi, PhD, is an associate professor at VIT-AP University, Andhra Pradesh. She has an overall experience of 21 years out of which six years in industry, 15 years in the teaching field. Her research interests include cloud computing, network security, data mining, natural language processing, and theoretical foundations of computer science.

B. Balamurugan, PhD, is a professor in the School of Computing Sciences and Engineering at Galgotias University, Greater Noida, India. His contributions focus on engineering education, blockchain, and data sciences. He has published more than 30 books on various technologies and more than 150 research articles in SCI journals, conferences, and book chapters.

K. S. Savita, PhD, is on the academic staff in the Department of Computer and Information Sciences (CISD), Universiti Teknologi PETRONAS (UTP), Malaysia since 2006. She is accredited by the Malaysia Board of Technologies as Professional Technologist (Ts.) in Information and Computing Technology.