REMOTE INTELLIGENT CONSULTATION INTEGRATING BLOCKCHAIN AND IMPROVED ANT COLONY OPTIMIZATION
This paper aims to guide more reasonable and fair allocation of medical resources,to solve the problem of fee price negotiated by various subjects in the medical and health system and the payment of patients,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 remote consultation service,a decentralized remote intelligent consultation block chain model is proposed.The model used the improved ant colony optimization(ACO)under the smart contract to study the practicability of the improved ACO on the multi-node remote consultation service simulation platform.According to the experimental analysis results,the improved ACO can automatically execute and effectively match the target population under the smart contract.
万方数据
维普
