The healthcare industry has seen a notable surge in opportunities and
challenges due to the emergence of the Internet of Things (IoT), which encompasses
wearable technologies. The integration of intelligent devices generates substantial
quantities of health-related data. Cloud computing, in conjunction with big data
analytics, has the potential to extract significant and valuable insights from data
outputs. These insights may then be used to enhance decision-making processes.
Hospitals and other healthcare institutions may use the collected data to integrate with
existing Electronic Medical Record systems, aiming to strengthen health monitoring,
identify illnesses, and facilitate accurate diagnoses. To address the above scope, we
propose a system for effective data management that utilizes the IoT and blockchain
environment. The four algorithms have been proposed: hash generation, transaction
mining, smart contract, and consensus with majority voting. The IoT healthcare data
has initially been stored in the blockchain, providing a general view to the user group.
Through extensive experimental analysis, we have demonstrated the efficiency of
blockchain and the trustworthiness of the data it provides.
Keywords: Blockchain, Electronic health records, Hash generation, IoT, Mining, Proof of stake, Proof of work, Smart contract.
