Abstract

Blockchain technology is found to have its applicability in almost every domain because of its advantages such as crypto-security, transparency, immutability, decentralized data network. In present times, a smart healthcare system with a blockchain data network and healthcare 4.0 processes provides transparency, easy and faster accessibility, security, efficiency, etc. Healthcare 4.0 trends include industry 4.0 processes such as the internet of things (IoT), industrial IoT (IIoT), cognitive computing, artificial intelligence, cloud computing, fog computing, edge computing, etc. The goal of this work is to design a smart healthcare system and it is found to be possible through integration and interoperability of Blockchain 3.0 and Healthcare 4.0 in consideration with healthcare ground-realities. Here, healthcare 4.0 processes used for data accessibility are targeted to be validated through statistical simulation-optimization methods and algorithms. The blockchain is implemented in the Ethereum network, and with associated programming languages, tools, and techniques such as solidity, web3.js, Athena, etc. Further, this work prepares a comparative and comprehensive survey of state-of-the-art blockchain-based smart healthcare systems. The comprehensive survey includes methodology, applications, requirements, outcomes, future directions, etc. A list of groups, organizations, and enterprises are prepared that are working in electronic health records (EHR), electronic medical records (EMR) or electronic personal records (EPR) mainly, and a comparative analysis is drawn concerning adopting the blockchain technology in their processes. This work has explored optimization algorithms applicable to Healthcare 4.0 trends and improves the performance of blockchain-based decentralized applications for the smart healthcare system. Further, smart contracts and their designs are prepared for the proposed system to expedite the trust-building and payment systems. This work has considered simulation and implementation to validate the proposed approach. Simulation results show that the Gas value required (indicating block size and expenditure) lies within current Etherum network Gas limits. The proposed system is active because block utilization lies above 80%. Automated smart contract execution is below 20 seconds. A good number (average 3 per simulation time) is generated in the network that indicates a health competition. Although there is error observed in simulation and implementation that lies between 0.55% and 4.24%, these errors are not affecting overall system performance because simulated and actual (taken in state-of-the-art) data variations are negligible.

Highlights

  • Satashi Nakamoto in a white paper introduced a peer to peer version of the network without havingThe associate editor coordinating the review of this manuscript and approving it for publication was Srinivas Sampalli .a central financial institution in between to regulate and record the transaction

  • Blockchain 1.0 talks about financial transaction or currency, blockchain 2.0 is related to smart contracts in the field of economic, market and other financial areas while blockchain 3.0 is related to applications related to governance, health care, science, literature, supply chain management, and artwork

  • The use of healthcare 4.0 trends including internet of things (IoT), Industrial Internet of Things (IIoT), cloud computing, cognitive computing, and artificial intelligence (AI) concepts are explored in detail to propose a smart healthcare system that meets the requirements of the future

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Summary

INTRODUCTION

Satashi Nakamoto (a pseudonym) in a white paper introduced a peer to peer version of the network without having. Once blockchain-based healthcare approaches are adapted this data can be collected with the help of biometrics This would be helpful in multiple sub-systems like patient database, insurance, healthcare monitoring, smart contract designs, clinic trails, surgical operations, etc. The use of healthcare 4.0 trends including IoT, IIoT, cloud computing, cognitive computing, and artificial intelligence (AI) concepts are explored in detail to propose a smart healthcare system that meets the requirements of the future.

LITERATURE SURVEY
While Ui is Surgeon do: If Uiaddress is valid then
While Di is valid department do: If Dai ddress is valid then
27. End If
Randomly select a block for optimization bl
End If
SIMULATION USING JaamSim SIMULATOR
15. End If
For each Di
Findings
CONCLUSION AND FUTURE DIRECTIONS
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