Artificial intelligence‐powered decentralized framework for Internet of Things in Healthcare 4.0

TLDR

Remote patient monitoring and cloud‑based healthcare systems are popular but are limited by single‑point failure, security, privacy, and non‑transparency issues that threaten system continuity. The study proposes an AI‑enabled decentralized framework that authenticates IoT devices and enhances trust and transparency in patient health records. The framework employs AI‑enabled smart contracts on a public blockchain and detects malicious IoT nodes. Experimental tests demonstrate significant improvements in device energy consumption, data request time, throughput, average latency, and transaction fees.

Abstract

Abstract Remote patient monitoring and data management have gained much popularity in recent years because of their enhanced access to low‐cost healthcare services. A cloud‐based healthcare system provides numerous solutions for collecting patient data and offers on‐demand well‐managed reports to patients and healthcare providers. However, it equally suffers from single‐point failure, security, privacy, and non‐transparency issues with the data, impacting the continuity of the system. To resolve such concerns, this article proposes an artificial intelligence (AI)‐enabled decentralized healthcare framework that accesses and authenticates Internet of Things (IoT) devices and create trust and transparency in patient healthcare records (PHR). The mechanism is based on the AI‐enabled smart contracts and the conceptualization of the public blockchain network. Alongside this, the framework identifies the malicious IoT nodes in the system. The experimental analyses are performed on the real‐time test environment, and significant improvements are suggested in terms of device energy consumption, data request time, throughput, average latency, and transaction fee.