Blockchain Technology and Artificial Intelligence Based Decentralized Access Control Model to Enable Secure Interoperability for Healthcare

Abstract

Healthcare, one of the most important industries, is data-oriented, but most of the research in this industry focuses on incorporating the internet of things (IoT) or connecting medical equipment. Very few researchers are looking at the data generated in the healthcare industry. Data are very important tools in this competitive world, as they can be integrated with artificial intelligence (AI) to promote sustainability. Healthcare data include the health records of patients, drug-related data, clinical trials data, data from various medical equipment, etc. Most of the data management processes are manual, time-consuming, and error-prone. Even then, different healthcare industries do not trust each other to share and collaborate on data. Distributed ledger technology is being used for innovations in different sectors including healthcare. This technology can be incorporated to maintain and exchange data between different healthcare organizations, such as hospitals, insurance companies, laboratories, pharmacies, etc. Various attributes of this technology, such as its immutability, transparency, provenance etc., can bring trust and security to the domain of the healthcare sector. In this paper, a decentralized access control model is proposed to enable the secure interoperability of different healthcare organizations. This model uses the Ethereum blockchain for its implementation. This model interfaces patients, doctors, chemists, and insurance companies, empowering the consistent and secure exchange of data. The major concerns are maintaining a history of the transactions and avoiding unauthorized updates in health records. Any transaction that changes the state of the data is reflected in the distributed ledger and can be easily traced with this model. Only authorized entities can access their respective data. Even the administrator will not be able to modify any medical records.

IoT‐based energy efficient and longer lifetime compression approach for healthcare applications

“…In the literature, a number of radio models have been put out. [26][27][28][29] Use the specified radio model for the first order as a consequence. Here d referred as the distance among the transmitter and receiver and d2 as the absence of energy brought on by channel propagation.…”

“…Proposed protocol decreases the consumption of energy in the network by utilizing different forwarder for each round in order to balance the energy utilization across sensor nodes. 27,[30][31][32][33] The sink node uses a cost function to calculate the energy requirement for transmission between node and sink node. On the basis of cost function value, each node chooses if it can be a forwarder node or not.…”

“…By offering constant and widespread motion health monitoring, it has the potential to revolutionize health surveillance and improve the quality of life for users. In the literature, a number of radio models have been put out 26–29 . Use the specified radio model for the first order as a consequence.…”

Fortifying Health Care Intellectual Property Transactions With Blockchain

“…Health care data, which include patient information, drug and medical device use, clinical trials, diagnoses, research reports, and more, are highly sensitive and require security and privacy protection. Consequently, health care organizations, including hospitals, insurance companies, pharmacies, data laboratories, gene banks, and biotechnology and pharmaceutical firms, are hesitant to share data and collaborate [ 108 ]. However, blockchain technology can address this issue by creating an interoperable architecture for interorganization and platform data sharing [ 109 ].…”

Bibliometric Analysis of Blockchain in the Healthcare Domain

“…Blockchain 4.0 facilitates business connectivity by redistributing and enabling systems for supply chain and financial and asset management. Blockchain is used in a wide range of sectors, such as education, government, finance, supply chain, food tracing, and healthcare [3] . This technology is most adapted for use in the healthcare industry.…”