Contextual Variation of Clinical Notes induced by EHR Migration. Article Swipe
The structure and semantics of clinical notes vary considerably across different Electronic Health Record (EHR) systems, sites, and institutions. Such heterogeneity hampers the portability of natural language processing (NLP) models in extracting information from the text for clinical research or practice. In this study, we evaluate the contextual variation of clinical notes by measuring the semantic and syntactic similarity of the notes of two sets of physicians comprising four medical specialties across EHR migrations at two Mayo Clinic sites. We find significant semantic and syntactic variation imposed by the context of the EHR system and between medical specialties whereas only minor variation is caused by variation of spatial context across sites. Our findings suggest that clinical language models need to account for process differences at the specialty sublanguage level to be generalizable.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://pubmed.ncbi.nlm.nih.gov/38222426
- OA Status
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- OpenAlex ID
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- Title
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Contextual Variation of Clinical Notes induced by EHR Migration.Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-01Full publication date if available
- Authors
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Kurt Miller, Sungrim Moon, Sunyang Fu, Hongfang LiuList of authors in order
- Landing page
-
https://pubmed.ncbi.nlm.nih.gov/38222426Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://pmc.ncbi.nlm.nih.gov/articles/PMC10785835/pdf/1391.pdfDirect OA link when available
- Concepts
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Variation (astronomy), Sublanguage, Context (archaeology), Software portability, Electronic health record, Natural language processing, Computer science, Semantics (computer science), Specialty, Artificial intelligence, Medicine, Family medicine, Geography, Health care, Programming language, Physics, Astrophysics, Archaeology, Economic growth, EconomicsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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