Abstract:
Detecting fraudulent medical documents remains a significant challenge in the Web2 industry. This project
proposes the use of blockchain technology and soul-bound tokens (SBTs) to automate and secure medical
document verification. By leveraging deep learning and decentralized algorithms, this system aims to enhance
the security, integrity, and accessibility of healthcare records. The goal is to provide seamless, real-time
healthcare services while ensuring the confidentiality and security of sensitive health information. The current
healthcare landscape is plagued by vulnerabilities in Electronic Health Records (EHRs), including security
breaches, unauthorized access, and data manipulation. Existing methods for securing EHRs, such as
encryption and access controls, have limitations in providing a comprehensive and tamper-proof solution.
This research addresses critical challenges in data security, data integrity, interoperability, patient privacy,
and scalability by designing a blockchain-based architecture for healthcare records. Blockchain technology
offers an immutable and transparent ledger for medical records, enhancing the system's credibility and
reducing the possibility of fraudulent activity. The proposed solution investigates the use of blockchain smart
contracts to construct decentralized access control systems, enabling precise management of who has access
to medical records. Additionally, the blockchain-based design takes healthcare data interoperability into
account, facilitating trustworthy and easy data sharing between healthcare providers. The decentralized nature
of blockchain can also lessen risks associated with centralized databases, enhancing the resilience of
healthcare systems against cyber threats. The project prioritizes user empowerment, allowing patients to have
more control over their electronic health records (EHRs) and enabling them to grant or revoke access as
needed. The design also ensures compliance with current legal and ethical frameworks governing the
management of electronic health records
