S-Health: LLM-driven and Lightweight Blockchain-based Secure Framework for Healthcare 5.0
Aparna Kumari, Megh H. Shah, Parth V. Sheth · 2024
In Healthcare 5.0, the integration of Large Language Models (LLMs) and blockchain in healthcare is a transformative solution for safe and unaltered medical data analysis. In this paper, a framework is proposed, i.e., S-Health to perform the prediction analysis and medical report analysis based on the Internet of Things (IoT) healthcare data using the LLMs, which is integrated with lightweight blockchain technology for data security and integrity. Further, S-Health comprises an Interplanetary File System (IPFS), which is a decentralized file storage system that allows all stakeholders of S-Health to share analytical reports securely. Next, performance evaluation criteria like the Mean Absolute Error (MAE), Mean Squared Error (MSE), Accuracy, and the confusion matrix are adopted to measure the effectiveness of the developed framework. Thus, the results prove the efficiency of the suggested integration and show that it is more accurate and secure in the context of medical data analysis and storage than other available approaches. S-Health addresses key challenges in healthcare data management, presenting a robust solution for the modern healthcare industry.