Skip to content
Conference

A Decentralized Blockchain Framework for Secure and Privacy-Preserving Healthcare Data Management

Aug 2026 · International Conference on Circuit, Power and Computing Technologies · pp. 1636-1641 · 0 citations · 16 references

Abstract

The management of healthcare data has become an intricate task with the advent of digital health records, multiple data sources, and the need for security and privacy. Current centralized healthcare systems are vulnerable to major issues, including single points of failure, data breaches, opacity, and poor data-sharing mechanisms between entities such as hospitals, patients and insurance agencies. This calls for a secure, decentralised and trusted approach to healthcare data management. This study presents a decentralized blockchain-based approach for secure and privacy-aware management of healthcare data. The system aims to exploit the features of blockchain technology to achieve immutability, transparency, and decentralization without the need for a trusted central authority. Smart contracts are employed to enforce access control policies, facilitating secure data sharing while maintaining privacy. Cryptographic methods like hashing and encryption are used to safeguard confidential medical information and ensure confidentiality. The framework also includes decentralized identity management and permissioned blockchain technologies to comply with medical regulations and integrity of data. The proposed framework is validated through extensive experimentation to show improved data security and cyberattack mitigation, and efficient data access in comparison to conventional systems. The findings also confirm enhanced scalability, low latency in secure data transactions, and strong privacy protection. In summary, the decentralized framework offers a secure and efficient data management solution for modern healthcare systems, facilitating secure interoperability and trust among stakeholders, and protecting patient data privacy in practical healthcare settings.

View source

Similar papers

Open access Aug 2026

Enhanced Blockchain-Based Privacy Preservation of Healthcare Insurance Data Using Optimized Elliptic Curve Cryptography

A blockchain-based framework designed to protect the privacy of healthcare insurance data using optimized Elliptic Curve Cryptography (ECC) is introduced, which provides a practical and scalable solution for sharing healthcare information securely in today's insurance environments.

Karimuddin Mahammad Sadhik, R. V., Ravi Kiran K · 0 citations
#edge computing Open access Aug 2026

Privacy-preserving digital ecosystems: The role of blockchain technology in healthcare, finance, and smart cities

The accelerating digitisation of healthcare, financial services, and urban governance has intensified concerns regarding data privacy, security, and unauthorised data exploitation. Traditional centralised data management architectures exhibit inherent vulnerabilities, including single points of failure, susceptibility...

Divyang Joshi, Paresh Patel, Hiren Harsora et al. · 0 citations
Open access Sep 2026

Blockchain-Based Approaches to Improving Data Security

The research concludes that blockchain should not be considered a universal replacement for conventional security technologies but can serve as a complementary security layer when its properties are appropriately matched to the requirements of a particular application.

Manish Jain, Deepika Agrawal · 0 citations
Conference Aug 2026

A Secure Blockchain–IPFS Framework with AI-Driven Medical Analytics for Decentralized Healthcare Systems

Digital infrastructures are becoming very popular in healthcare systems to store and process Electronic Health Records (EHRs), but the majority of current systems are centralized and prone to breach of data, unauthorized access and manipulation of data. The proposed research proposes a solution to these concerns by int...

Ram K. Shivany, Barakkath Nisha U, J. S et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.