Artificial intelligence and multi agent based distributed ledger system for better privacy and security of electronic healthcare records

Abstract

Background Application of Artificial Intelligence (AI) and the use of agent-based systems in the healthcare system have attracted various researchers to improve the efficiency and utility in the Electronic Health Records (EHR). Nowadays, one of the most important and creative developments is the integration of AI and Blockchain that is, Distributed Ledger Technology (DLT) to enable better and decentralized governance. Privacy and security is a critical piece in EHR implementation and/or adoption. Health records are updated every time a patient visits a doctor as they contain important information about the health and wellbeing of the patient and describes the history of care received during the past and to date. Therefore, such records are critical to research, hospitals, emergency rooms, healthcare laboratories, and even health insurance providers. Methods In this article, a platform employing the AI and the use of multi-agent based systems along with the DLT technology for privacy preservation is proposed. The emphasis of security and privacy is highlighted during the process of collecting, managing and distributing EHR data. Results This article aims to ensure privacy, integrity and security metrics of the electronic health records are met when such copies are not only immutable but also distributed. The findings of this work will help guide the development of further techniques using the combination of AI and multi-agent based systems backed by DLT technology for secure and effective handling EHR data. This proposed architecture uses various AI-based intelligent based agents and blockchain for providing privacy and security in EHR. Future enhancement in this work can be the addition of the biometric based systems for improved security.

Towards Cognitive Authentication for Smart Healthcare Applications

“…At present numerous emerging strategies related to the biometric authentication are being integrated and evolved in interdisciplinary domains i.e., personal identification, access and assets monitoring applications. Among biometric-based technologies it is witnessed that EEG signals gathered during behavioral and/or mental activity can be adopted for reliable authentication and identification [ 3 ]. On one hand EEG enabled systems are contributing into the human identity monitoring field, while at the same time we are facing various critical challenges such as security, accuracy, privacy, and robustness, etc.…”

Addressing the Challenges of Electronic Health Records Using Blockchain and IPFS

“…Upon mutual authentication and joint agreement, this key can then be used by group members to view the encrypted private information. In contrast, Alruwaili [ 80 ] went with a novel approach of using artificial intelligence and a multi-agent-based distributed ledger system to improve EHR security. Intelligent multi-agents for user authentication agents are established as well as for providing access to EHR datasets.…”

A Review of Converging Technologies in eHealth Pertaining to Artificial Intelligence

“…One major concern in utilizing any technology that transmits or manipulates healthcare records is the security and privacy of such information. In [ 57 ], healthcare records are protected from malicious-intent users through a combination of artificial intelligence-based agents and smart contracts generated through the use of blockchain technology, making sensitive health records distributed and immutable. The mixture of eHealth and blockchain for the purpose of protecting health data seems to provide a well-acknowledged solution, as we see in [ 23 ] and in combination with AI in [ 15 ].…”