With the widespread development of digital healthcare systems, the protection of medical file integrity has become a major issue. Research on cryptographic hashing techniques such as BLAKE3 and SHA-3 for fast and secure file authentication, pydicom based metadata verification for ensuring the consistency of DICOM data, blockchain-based approaches for tamper-proof EHRs, federated learning for privacy-preserving data integrity verification, AI and machine learning-based anomaly detection, and lightweight cryptographic models for securing medical files. The survey shows the benefits of integrating these techniques to create a robust and scalable system for medical file integrity verification, including enhanced security, compliance, and patient trust in digital healthcare systems.