Healthcare data management using blockchain-IPFS integrated framework with implementation of an effective authentication technique
Kajal Tiwari, Sanjay Kumar · 2025
Nowadays people are much more aware of their health and about their records. The medical field contains a much amount of data on any particular patient and now the number of patients also increases exponentially, so the medical data with different types are also increasing relatively. After increasing the data, the main task with that data is to handle it effectively. Once we talked about the information related to any person, we found that the data needs to be more secure. If we talk about the patients’ data then it will require quick retrieval of the data, because it is directly related to the life of that patient. In this paper, we achieve security and privacy through the blockchain and the cryptographic algorithms, it makes the data of particular patients more secure and while integrating the blockchain with the IPFS we can access the data in a decentralized manner. The proposed framework achieves more privacy with less response time and least complexity in its various phases, the integrated model, and defined algorithms that are illustrated in the results. In this paper, the authentication algorithm strengthens the framework and enhances the security of the framework because it restricts user access without the success of authentication.