Abstract: Medical data serves as the most crucial pillar and driving force in the healthcare system, playing a vital role in the development of the health and medical field. Addressing issues such as medical data falsification and diagnostic errors in hospitals, this paper proposes a medical data audit method based on blockchain technology. From an audit perspective, this method combines interplanetary file system (IPFS) with blockchain for storing medical data, and utilizes smart contracts for data access and control, ensuring the authenticity, reliability, openness, and transparency of medical data. Furthermore, a deep learning-based medical data audit model with an attention mechanism is designed to automatically extract key features of medical data, aiming to more accurately locate audit clues in medical data. Experimental results demonstrate that the block-chain-based medical data audit method proposed in this paper not only guarantees the reliability of medical data but also improves the accuracy and precision of audit clue location compared to existing audit models.

Key words: blockchain, interplanetary file system (IPFS), deep learning, attention mechanism, audit