Processing of Short-Form Content in Clinical Narratives: Systematic Scoping Review

The scope and types of what constitutes a clinical short form were often not explicitly defined by the authors. This lack of definition poses challenges for reproducibility and for determining whether specific methodologies are suitable for different types of short forms. Analysis of a subset of NLP recommendations for assessing quality and reproducibility revealed only partial adherence to these recommendations. Single-character abbreviations were underrepresented in studies on clinical narrative processing, as were investigations in languages other than English. Future research should focus on these 2 areas, and each paper should include descriptions of the types of content analyzed.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2024-09-26
DOI
https://doi.org/10.2196/57852
Citations
1
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.23
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article

Processing of Short-Form Content in Clinical Narratives: Systematic Scoping Review

Amila Kugic, Markus Kreuzthaler, Luise Modersohn, Martin Boeker et al.
1 citations
Journal of Medical Internet Research
Biomedical Text Mining and Ontologies
0.23
article

Processing of Short-Form Content in Clinical Narratives: Systematic Scoping Review

Amila Kugic, Markus Kreuzthaler, Luise Modersohn, Martin Boeker, Ingrid Martin, Stefan Schulz, Peter Pallaoro
article en
1 citations

Abstract

The scope and types of what constitutes a clinical short form were often not explicitly defined by the authors. This lack of definition poses challenges for reproducibility and for determining whether specific methodologies are suitable for different types of short forms. Analysis of a subset of NLP recommendations for assessing quality and reproducibility revealed only partial adherence to these recommendations. Single-character abbreviations were underrepresented in studies on clinical narrative processing, as were investigations in languages other than English. Future research should focus on these 2 areas, and each paper should include descriptions of the types of content analyzed.

Journal of Medical Internet ResearchVol. 26
Medical University of Graz (AT), Technical University of Munich (DE)
Quality Education
Openalex Percentile: Top 42%
Biomedical Text Mining and Ontologies
0.23
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