Local Transcription Models in Home Care Nursing in Switzerland: an Interdisciplinary Case Study
Latest advances in the field of natural language processing (NLP) enable new use cases for different domains, including the medical sector. In particular, transcription can be used to support automation in the nursing documentation process and give nurses more time to interact with the patients. How...
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Zusammenfassung: | Latest advances in the field of natural language processing (NLP) enable new
use cases for different domains, including the medical sector. In particular,
transcription can be used to support automation in the nursing documentation
process and give nurses more time to interact with the patients. However,
different challenges including (a) data privacy, (b) local languages and
dialects, and (c) domain-specific vocabulary need to be addressed. In this case
study, we investigate the case of home care nursing documentation in
Switzerland. We assessed different transcription tools and models, and
conducted several experiments with OpenAI Whisper, involving different
variations of German (i.e., dialects, foreign accent) and manually curated
example texts by a domain expert of home care nursing. Our results indicate
that even the used out-of-the-box model performs sufficiently well to be a good
starting point for future research in the field. |
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DOI: | 10.48550/arxiv.2409.18819 |