Anticipating the Development of Innovative Systems: Decentralized Healthcare System and Secure Remote Monitoring Platform for Diabetes Patients

Abstract

An unparalleled potential to improve the management and treatment of chronic illnesses like diabetes has arisen with the growth of digital health technology. Better health outcomes and quality of life for people with diabetes may be possible with the help of decentralized and secure digital health solutions, according to the results. Creating a secure remote monitoring platform and decentralized health application for diabetes patients is difficult, especially for securing sensitive patient data. Current healthcare systems frequently have poor performance, high mistake rates, and low sensitivity and specificity. This proposed work provides a novel way to securely store encrypted diabetes data using AES and MD5 in a user-defined blockchain system. The decentralized healthcare system and safe remote monitoring platform for diabetic patients use a Python-based block class with index, previous hash, timestamp, data, hash, and compute hash. Additionally, a user-defined blockchain class with add block method is created. CSV diabetic data is safely kept on the blockchain, and simulations assure transaction success and failure. Comparing the suggested and traditional models shows considerable increases in performance, error rates, sensitivity, and specificity across block indices. This unique solution improves diabetes data management security and reliability and establishes a new benchmark for digital healthcare systems.