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.
Authors
- Amila Kugic (ORCID: https://orcid.org/0000-0003-4674-0146)
- Markus Kreuzthaler (ORCID: https://orcid.org/0000-0001-9824-9004)
- Luise Modersohn (ORCID: https://orcid.org/0000-0002-8258-4366)
- Martin Boeker (ORCID: https://orcid.org/0000-0003-2972-2042)
- Ingrid Martin (ORCID: https://orcid.org/0000-0001-8009-1368)
- Stefan Schulz (ORCID: https://orcid.org/0000-0001-7222-3287)
- Peter Pallaoro (ORCID: https://orcid.org/0000-0003-4808-0700)
Institutions
- Medical University of Graz (AT)
- Technical University of Munich (DE)
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