HNMblock: Blockchain technology powered Healthcare Network Model for epidemiological monitoring, medical systems security, and wellness

TL;DR

HNMblock leverages blockchain technology to enhance security, privacy, and real-time epidemiological monitoring in healthcare, enabling tamper-proof data tracking and personalized patient involvement.

Contribution

This paper introduces HNMblock, a novel blockchain-based model that improves healthcare data security, epidemiological surveillance, and patient engagement through decentralized, cryptographic, and smart contract techniques.

Findings

Real-time, tamper-proof epidemiological data tracking

Enhanced security of medical systems via cryptography and smart contracts

Promotion of personalized healthcare and patient involvement

Abstract

In the ever-evolving healthcare sector, the widespread adoption of Internet of Things and wearable technologies facilitates remote patient monitoring. However, the existing client/server infrastructure poses significant security and privacy challenges, necessitating strict adherence to healthcare data regulations. To combat these issues, a decentralized approach is imperative, and blockchain technology emerges as a compelling solution for strengthening Internet of Things and medical systems security. This paper introduces HNMblock, a model that elevates the realms of epidemiological monitoring, medical system security, and wellness enhancement. By harnessing the transparency and immutability inherent in blockchain, HNMblock empowers real-time, tamper-proof tracking of epidemiological data, enabling swift responses to disease outbreaks. Furthermore, it fortifies the security of medical systems through advanced cryptographic techniques and smart contracts, with a paramount focus on safeguarding patient privacy. HNMblock also fosters personalized healthcare, encouraging patient involvement and data-informed decision-making. The integration of blockchain within the healthcare domain, as exemplified by HNMblock, holds the potential to revolutionize data management, epidemiological surveillance, and wellness, as meticulously explored in this research article.