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Clinical document metadata extraction: A scoping review
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DOI：10.1016/j.jbi.2026.105050.png)
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Abstract
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Clinical document metadata, such as document type, structure, author role, medical specialty, and encounter setting, is essential for accurate interpretation of information captured in clinical documents. However, vast documentation heterogeneity and drift over time challenge harmonization of document metadata. Automated extraction methods have emerged to coalesce metadata from disparate practices into target schema. This scoping review aims to catalog research on clinical document metadata extraction, identify methodological trends and applications, and highlight gaps warranting further investigation.
Keywords:
Electronic health records
Clinical document metadata
Document attributes
Document structure
Information extraction
Clinical natural language processing
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