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Updated: Jan 9, 2026
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
Published on: August 9, 2024
Evaluating artificial intelligence ambient voice technology as a documentation assistant in psychiatry:
Noah Stanton1, Aadam Aziz1, Salim Jakhra1
1https://ror.org/05drfg619Central and North West London NHS Foundation Trust, London, UK.
Aims And Method:
Artificial intelligence ambient voice technology (AI AVT), which uses a large language model to summarise clinical dialogue into electronic notes and GP letters, has emerged. We conducted a mixed-methods, pre-post (manual versus AVT-assisted documentation) service development pilot to evaluate its use in a child and adolescent out-patient clinic.
Results:
The median administration time per clinical encounter reduced from 27 min (manual) to 10 min (AVT) (P < 0.001). On average, AVT-assisted documentation required only 45% of the time for manual documentation (P < 0.001). Clinician-rated accuracy, quality and efficiency were significantly higher for AVT-assisted documentation. Patient acceptance was high, with 97% reporting that clinicians were not distracted by note-taking. Thematic analysis from focus groups identified positive effects derived from AVT (improved productivity and clinician well-being), but was balanced by barriers (technological limitations).
Clinical Implications:
Integration of AVT into clinical workflows can significantly alleviate documentation burden, reduce cognitive strain and free up clinical capacity.
