Abstract

AbstractRemote patient monitoring and data management have gained much popularity in recent years because of their enhanced access to low‐cost healthcare services. A cloud‐based healthcare system provides numerous solutions for collecting patient data and offers on‐demand well‐managed reports to patients and healthcare providers. However, it equally suffers from single‐point failure, security, privacy, and non‐transparency issues with the data, impacting the continuity of the system. To resolve such concerns, this article proposes an artificial intelligence (AI)‐enabled decentralized healthcare framework that accesses and authenticates Internet of Things (IoT) devices and create trust and transparency in patient healthcare records (PHR). The mechanism is based on the AI‐enabled smart contracts and the conceptualization of the public blockchain network. Alongside this, the framework identifies the malicious IoT nodes in the system. The experimental analyses are performed on the real‐time test environment, and significant improvements are suggested in terms of device energy consumption, data request time, throughput, average latency, and transaction fee.

Highlights

  • Internet of Things (IoT) and other related technologies such as artificial intelligence (AI), mixed augmented reality (MAR), and blockchain have revolutionized the concept of a smart ecosystem, where all life forms include the living and non-living, are linked to each other for the mutual sharing of information.[1]

  • A clinical smart contract is being deployed to set up a connection with the IoT sensor node, main hospital, and blockchain network

  • public key (Pb) combined with Device ID (Did) helps to validate the transaction in the blockchain network

Read more

Summary

INTRODUCTION

Internet of Things (IoT) and other related technologies such as artificial intelligence (AI), mixed augmented reality (MAR), and blockchain have revolutionized the concept of a smart ecosystem, where all life forms include the living and non-living, are linked to each other for the mutual sharing of information.[1]. A single point of failure is one of the acute problems because if the server faces insignificant issues or failures, the entire network is influenced These servers consume more network bandwidth toward managing network traffic in high volume.[12,13] Blockchain technology overcome these issues through its decentralized architecture and addresses the security and privacy concerns as it can store every sensitive information of nodes across the entire network. Some bitcoin-based solutions have been proposed for the healthcare domain,[14,15] there are issues such as high-power consumption, less throughput, and latency that still exists in these networks These issues need to be addressed at the time of developing the healthcare system with blockchain technology.

RELATED WORK
Centralized healthcare system
Decentralized healthcare system
Evaluation parameters
PROPOSED FRAMEWORK
Rule-based artificial intelligence
Developed IoT sensor node
Clinic layer
Results
Hospital layer
Registration patient ID and device ID
Data authentication
Workflow of the system
Evaluation testbed
Evaluation outcomes
Energy consumption
Throughput and average latency
Transaction fee analysis
CONCLUSION

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.