Advancing remote consultation through the integration of blockchain and ant colony algorithm

Xiang Gao; Yipeng Zhang; Xiang Gao; Yipeng Zhang

doi:10.3934/mbe.2023753

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 9: 16886-16912. doi: 10.3934/mbe.2023753

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Research article Special Issues

Advancing remote consultation through the integration of blockchain and ant colony algorithm

Xiang Gao ¹,
Yipeng Zhang ^{2
,
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1.
School of Public Health and Management, Guangxi University of Chinese Medicine, Nanning 530200, China
2.
School of Basic Medical Sciences, Guangxi University of Chinese Medicine, Nanning 530200, China

Academic Editor: Simon James Fong

Received: 28 April 2023 Revised: 30 July 2023 Accepted: 09 August 2023 Published: 24 August 2023

To guide the more reasonable and fair allocation of medical resources, to solve the problem of fee prices negotiated by various subjects in the medical and health system and patient payment, and to solve the problem of how to ensure the privacy, accuracy, consistency and traceability of data in the process of collecting patient information in each hospital, according to the operation process of a remote consultation service, a decentralized remote intelligent consultation blockchain model is proposed. The model uses the improved ant colony algorithm under a smart contract and studies the practicality of the improved ant colony algorithm on the multi-node remote consultation service simulation platform. According to the experimental analysis results, the improved ant colony algorithm can automatically execute and effectively match the target population under the smart contract.
- blockchain,
- remote consultation service,
- ant colony algorithm,
- smart contract,
- decentralized
Citation: Xiang Gao, Yipeng Zhang. Advancing remote consultation through the integration of blockchain and ant colony algorithm[J]. Mathematical Biosciences and Engineering, 2023, 20(9): 16886-16912. doi: 10.3934/mbe.2023753

Related Papers:

Abstract

To guide the more reasonable and fair allocation of medical resources, to solve the problem of fee prices negotiated by various subjects in the medical and health system and patient payment, and to solve the problem of how to ensure the privacy, accuracy, consistency and traceability of data in the process of collecting patient information in each hospital, according to the operation process of a remote consultation service, a decentralized remote intelligent consultation blockchain model is proposed. The model uses the improved ant colony algorithm under a smart contract and studies the practicality of the improved ant colony algorithm on the multi-node remote consultation service simulation platform. According to the experimental analysis results, the improved ant colony algorithm can automatically execute and effectively match the target population under the smart contract.

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