This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives in AI (13) Clinical Informatics (1261) Electronic Health Records (1273) Artificial Intelligence (2003) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (175) Generative Language Models Including ChatGPT (633) AI Language Models in Health Care (164)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57673, first published .
The Utility and Implications of Ambient Scribes in Primary Care

The Utility and Implications of Ambient Scribes in Primary Care

The Utility and Implications of Ambient Scribes in Primary Care

Authors of this article:

Puneet Seth1 Author Orcid Image ;   Romina Carretas2 Author Orcid Image ;   Frank Rudzicz3, 4 Author Orcid Image
Article Authors Cited by (11) Tweetations Metrics

Journals

  1. Kinachtchouk N, Canes D. Artificial Intelligence (AI) and Men’s Health Clinic Efficiency and Clinic Billing. Current Urology Reports 2025;26(1) View
  2. Biesheuvel L, Workum J, Reuland M, van Genderen M, Thoral P, Dongelmans D, Elbers P. Large language models in critical care. Journal of Intensive Medicine 2025;5(2):113 View
  3. Biro J, Handley J, Cobb N, Kottamasu V, Collins J, Krevat S, Ratwani R. Accuracy and Safety of AI-Enabled Scribe Technology: Instrument Validation Study. Journal of Medical Internet Research 2025;27:e64993 View
  4. Tan N, Lim R, Ng D. Supporting quadruple aim in primary care using artificial intelligence. Annals of the Academy of Medicine, Singapore 2025;54(5):305 View
  5. Alboksmaty A, Hayhoe B, Majeed A, Neves A. Reclaiming the primary care consultation for patients and clinicians: is AI-enabled ambient voice technology the answer?. Journal of the Royal Society of Medicine 2025 View
  6. Alboksmaty A, Aldakhil R, Hayhoe B, Ashrafian H, Darzi A, Neves A. The impact of using AI-powered voice-to-text technology for clinical documentation on quality of care in primary care and outpatient settings: a systematic review. eBioMedicine 2025;118:105861 View
  7. Wright D, Kanaparthy N, Melnick E, Levy D, Huot S, Hsiao A, Schwamm L, Ong S. The Effect of Ambient Artificial Intelligence Scribes on Trainee Documentation Burden. Applied Clinical Informatics 2025;16(04):872 View
  8. Patterson J, Kovacs M, Lees C. Ambient Artificial Intelligence Scribes: A Pilot Survey of Perspectives on the Utility and Documentation Burden in Palliative Medicine. Healthcare 2025;13(17):2118 View
  9. Eccles A, Pelly T, Pope C, Powell J. Unintended consequences of using ambient scribes in general practice. BMJ 2025;390:e085754 View
  10. Draper T, Leake J, Lamb-Riddell K, Cox T, McCormick J, Trowell S, Kiely J, Luxton R. Impact of acoustic and informational noise on AI-generated clinical summaries. BMJ Digital Health & AI 2025;1(1):e000057 View

Books/Policy Documents

  1. R. Wojda T, Vino Dominic Savio F, Hochheiser H, Amaravathi A, Bharat K, Fischer G. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats, Volume 3 [Working Title]. View