Article

Leveraging Unsupervised Learning for Automated Schema Matching and Data Harmonization in Multi-Source Electronic Health Record Integration

2026-03-06

Abstract excerpt

The integration of electronic health records (EHRs) from disparate sources is a foundational prerequisite for large-scale clinical analytics, population health management, and precision medicine initiatives; however, this process is critically hindered by the labor-intensive bottleneck of schema matching and data harmonization, which requires establishing semantic correspondences between heterogeneous database str...

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Literature Corpus work: e33c790c-a327-52be-8458-0a7355137cf6
DOI: 10.14293/pr2199.003098.v1

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