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<p>The heterogeneity of Electronic Health Record (EHR) systems leads to significant differences in data formats and structures across different platforms. This issue becomes particularly prominent for specific populations requiring frequent cross-institutional medical services, such as professional athletes. As athletes often receive treatment from multiple healthcare providers, redundant data entry across systems is common, and data updates frequently fail to synchronize in a timely manner. This not only wastes storage resources but may also result in incomplete clinical decision-making references. Addressing the amplified effect of this universal architectural challenge in specific scenarios, this study proposes a cross-platform deduplication and backup method for athletes’ medical records that considers data integrity. The distributed architecture is used to build the overall framework for cross platform deduplication backup of athletes’ medical cases. The Doc2Vec model is used to quantify the high-dimensional features of athletes’ medical case data on multiple platforms. The secure hash algorithm is used to generate the check code of athletes’ medical case data blocks. The circular order method is used to verify the integrity of the high-dimensional feature data of athletes’ medical cases, verify the integrity of the case file. Keccak algorithm is selected to calculate the fingerprint of the case data block. When the fingerprint block is matched successfully, it is determined that the new file and the stored file have the same data block, and the data is synchronized to all backup systems for deduplication to eliminate the risk of duplicate backup. The dual pointer directed acyclic graph of athletes’ medical cases after deduplication processing is used to realize cross platform deduplication backup of athletes’ medical cases. The experimental results show that the duplicate data deletion rate of multi platform athletes’ medical case deduplication backup using this method is higher than 0.99, and the backup speed is higher than 300Mbps.</p>

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Cross-platform deduplication of athletes’ medical cases considering data integrity

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年9月29日

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  • Tanwei Shang,
  • Ziqing Zhao

摘要

The heterogeneity of Electronic Health Record (EHR) systems leads to significant differences in data formats and structures across different platforms. This issue becomes particularly prominent for specific populations requiring frequent cross-institutional medical services, such as professional athletes. As athletes often receive treatment from multiple healthcare providers, redundant data entry across systems is common, and data updates frequently fail to synchronize in a timely manner. This not only wastes storage resources but may also result in incomplete clinical decision-making references. Addressing the amplified effect of this universal architectural challenge in specific scenarios, this study proposes a cross-platform deduplication and backup method for athletes’ medical records that considers data integrity. The distributed architecture is used to build the overall framework for cross platform deduplication backup of athletes’ medical cases. The Doc2Vec model is used to quantify the high-dimensional features of athletes’ medical case data on multiple platforms. The secure hash algorithm is used to generate the check code of athletes’ medical case data blocks. The circular order method is used to verify the integrity of the high-dimensional feature data of athletes’ medical cases, verify the integrity of the case file. Keccak algorithm is selected to calculate the fingerprint of the case data block. When the fingerprint block is matched successfully, it is determined that the new file and the stored file have the same data block, and the data is synchronized to all backup systems for deduplication to eliminate the risk of duplicate backup. The dual pointer directed acyclic graph of athletes’ medical cases after deduplication processing is used to realize cross platform deduplication backup of athletes’ medical cases. The experimental results show that the duplicate data deletion rate of multi platform athletes’ medical case deduplication backup using this method is higher than 0.99, and the backup speed is higher than 300Mbps.