Unlocking the Potential of Blockchain Integration in Secured Framework of Mental Health

The assessment of mental health within modern healthcare systems has become increasingly complex, particularly when implemented on IoT-supported platforms. This paper explores the potential of a blockchain framework to utilize the trivial properties of EEG in order to enhance the applicability, efficiency and effectiveness of mental health assessment. Blockchain ensures secure and tamper-proof storage of mental health data, enables seamless data integration from diverse IoT sources, and fosters trust and transparency among participants. The decentralized and immutable nature of blockchain is expected to enhance security of EEG data, ensuring its integrity and interoperability. It also incentivizes data sharing, facilitates research collaboration, and reduces costs associated with data management and exchange. These technologies have the potential to revolutionize mental health care, leading to more precise and effective assessment techniques, personalized interventions, and improved outcomes for individuals seeking mental health support. Furthermore, the integration of AI and analytics on blockchain-integrated systems may support collaborative research, paving the way for more effective and innovative solutions to improve diagnostic accuracy.