Patient Safety Risks from AI Scribes: Signals from End-User Feedback
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Abstract (arXiv)
AI scribes are transforming clinical documentation at scale. However, their real-world performance remains understudied, especially regarding their impacts on patient safety. To this end, we initiate a mixed-methods study of patient safety issues raised in feedback submitted by AI scribe users (healthcare providers) in a large U.S. hospital system. Both quantitative and qualitative analysis suggest that AI scribes may induce various patient safety risks due to errors in transcription, most significantly regarding medication and treatment; however, further study is needed to contextualize the absolute degree of risk.
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References · 3
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
- 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 801
- 2025Aggregated Individual Reporting for Post-Deployment Evaluationcited by 3
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