A Blockchain-based Electronic Mental Health Records Model

Abstract

In the context of mental health, safeguarding patient data poses numerous challenges due to the sensitive nature of the field. The psychiatric sector heavily relies on data collection, processing, and sharing, which necessitates a robust and privacy-preserving system. By leveraging the unique features of blockchain, such as decentralization and cryptographic techniques, we establish a secure environment for managing psychiatric data. Our model addresses concerns related to data privacy and unauthorized access by guaranteeing data integrity and confidentiality. The blockchain-based shared case registry model also facilitates seamless collaboration and data sharing among healthcare providers, effectively overcoming interoperability challenges. By securely exchanging patient records, healthcare professionals can ensure continuity of care and gain a comprehensive understanding of a patient’s mental health history. This study investigates the potential of blockchain technology as an enabling solution for effective psychological health data management. Our research proposes a blockchain-based shared case registry model that ensures secure and efficient access to electronic psychiatric records.