Table 1 Summary of related work.
References | Solutions | Consensus Algorithm | Disadvantage |
|---|---|---|---|
providing services ensuring security and maintaining the privacy of patients | Practical Byzantine Fault Tolerance (PBFT) consensus algorithm | Increased bias, manipulation risks, low reliability | |
Traceability of consent in clinical trials | Proof of concept with time stamp | Unsure whether the person signed the consent is the right one or not | |
Tracking, securing, and management of clinical trials | Permissioned Ethereum, blockchain | Lack of network scalability | |
Monitoring and management of clinical data in multisite trials | Permissioned Hyperledger Fabric, blockchain | The cost of network setup is high | |
Monitoring and detecting falsified, spurious and counterfeit drugs | Ethereum Hyperledger Fabric, and Delegated PoS (DPoS) and practical Byzantine fault tolerance (PBFT | It requires implementation plans and policies | |
Inspection and tracking the data flow of drugs to prevent counterfeit drugs | Consortium PoW | Consultation with key investors to perform a cost–benefit evaluation | |
Analyze, trace, manage and verify medical data for clinical trial and precision medicine | General blockchain platform | Lack of consistency | |
Identification of malicious nodes and the selection of the primary node | PBFT consensus mechanism | Nodes with a lower value cannot participate in the consensus at all and it causes bias | |
Improve the scalability and throughput | MBFT consensus mechanism | Using the two-layer consensus algorithm increases complexity, requires more resources | |
Reducing the overhead for validating and recording transactions | Geographic-PBFT | Inequality of resources, increasing complexity | |
Improve clinical monitoring, ensure secure communication, and enhance data privacy in a decentralized manner | – | Complexity, Scalability, Security Risks |