Blockchain of things for healthcare asset management

Sajid Nazir, Mohammad Kaleem, Hassan Hamdoun, Jafar Alzubi, Hua Tianfield

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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The healthcare sector has a large deployment of critical assets, which must be available at the right place at the right time. This necessitates not only the location of the assets being monitored in real time but also the serviceability being ensured through predictive maintenance. The Internet of Things (IoT) has transformed real-time data acquisition, which can be aggregated and analysed for meaningful inferences about the monitored process and assets. The information can be collected and exchanged through radio, Bluetooth or other communications technologies but raises privacy and security concerns as the critical asset information is susceptible to interception and tampering both in transit and at rest.

The asset information is critical both for privacy preservation and tamper proofing. Combining the use of blockchain technology with IoT can provide a high degree of trust and security. The data can thereby be securely shared within the private blockchain only with the authorized parties.
This chapter discusses the application of combining IoT and Blockchain technologies into a solution to address challenges in the healthcare sector. We then present architecture for integrating IoT, Edge Artificial Intelligence and blockchain technologies for asset management in the healthcare sector.
Original languageEnglish
Title of host publicationHealthcare Monitoring and Data Analysis using IoT: Technologies and Applications
EditorsVishal Jain, Jyotir Moy Chatterjee, Pradeep Kumar , Utku Kose
Publisher Institution of Engineering and Technology (IET)
Number of pages11
ISBN (Electronic)9781839534386
ISBN (Print)9781839534379
Publication statusPublished - Feb 2022

Publication series

NameHeathcare Technologies Series 38


  • artificial intelligence
  • blockchain
  • healthcare
  • cryptography
  • real-time data acquisition
  • data privacy
  • asset management
  • permissioned blockchain
  • ethereum
  • medical records
  • distributed computing
  • edge computing
  • Amazon web services (AWS)
  • hyperledger fabric
  • Raspberry Pi
  • Polkadot
  • asset tracking
  • predictive maintenance
  • hashing
  • Internet of Things


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