Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 06, March 2022

Blockchain Enabled Diabetic Patients’ Data Sharing and Real Time Monitoring


Dodo Khan, Low Tan Jung, Manzoor Ahmed Hashmani and Moke Kwai Cheong, Universiti Teknologi PETRONAS (UTP), Malaysia


According to the World Health Organization worldwide diabetes report, the number of diabetic patients has surged from 108 million in the 1980s to 422 million in 2014. According to researchers, the numbers will continue to climb in the next decades. Diabetes is a sickness that requires long-term self-care and close monitoring to be appropriately put under control. As a result, continuous monitoring of blood sugar levels has the potential to save millions of lives. This paper proposes a Blockchain-based platform that connects the patients, healthcare practitioners (HP), and caregivers for a continuous monitoring and care ofdiabetic patients. It lets the patients to securely connected to HP for the purpose of remote patient monitoring (telemedicine), whilst preserving patient data privacy using the blockchain technology. IoT sensors are used to read sugar levels and store these data in a tamper-proof immutable ledger (Hyperledger). This platform provides an End-to-End movement of the patient's data. That is, from the point where it is formed (sensors) to the point it ends up in the HP side. It gives patient a control-and-track function to maintain/track data movement. It provides a unique feature in allowing the patient to keep track of the private data and to pick who they want to share the data with and for how long (and for what reason). The platform is developed in two stages. Initially, the concept is implemented using the Hyperledger Fabric. Then, a Blockchain based on a novel Proof-of-Review (PoR) consensus model is included on to provide efficient performance and scalability in the Hyperledger fabric. Essentially, this proposed platform is to alleviate the pain points in traditional healthcare systems in the scopes of information exchange, data security, and privacy maintenance for real-time diabetic patient monitoring.


Blockchain, Consensus Protocols, Secure Data Movement, Real-time Monitoring, Hyperledger.