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

Applications of AI (246) Artificial Intelligence (1996)

Published on in Vol 3 (2024)

Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study

Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study

Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study

Authors of this article:

Marieke Meija van Buchem1 Author Orcid Image ;   Ilse M J Kant2 Author Orcid Image ;   Liza King3 Author Orcid Image ;   Jacqueline Kazmaier3 Author Orcid Image ;   Ewout W Steyerberg4 Author Orcid Image ;   Martijn P Bauer5 Author Orcid Image
Article Authors Cited by (14) Tweetations Metrics

Journals

  1. Alli S, Hossain S, Das S, Upshur R. The Potential of Artificial Intelligence Tools for Reducing Uncertainty in Medicine and Directions for Medical Education. JMIR Medical Education 2024;10:e51446 View
  2. Saadat S, Khalilizad Darounkolaei M, Qorbani M, Hemmat A, Hariri S. Enhancing Clinical Documentation with AI: Reducing Errors, Improving Interoperability, and Supporting Real-Time Note-Taking. InfoScience Trends 2025;2(1):1 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. Rashid Z, Ahmed H, Nadeem N, Zafar S, Yousaf M. The paradigm of digital health: AI applications and transformative trends. Neural Computing and Applications 2025;37(17):11039 View
  5. Gilchrist C, Goldszmidt M. Proceed with caution: Conceptualizing the risk of artificial intelligence scribes in medical education. Medical Teacher 2025:1 View
  6. Ha E, Choon-Kon-Yune I, Murray L, Luan S, Montague E, Bhattacharyya O, Agarwal P. Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis. JMIR Human Factors 2025;12:e71434 View
  7. Sasseville M, Yousefi F, Ouellet S, Naye F, Stefan T, Carnovale V, Bergeron F, Ling L, Gheorghiu B, Hagens S, Gareau-Lajoie S, LeBlanc A. The Impact of AI Scribes on Streamlining Clinical Documentation: A Systematic Review. Healthcare 2025;13(12):1447 View
  8. Ng J, Wang E, Zhou X, Zhou K, Goh C, Sim G, Tan H, Goh S, Ng Q. Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review. BMC Medical Informatics and Decision Making 2025;25(1) View
  9. Devereux C, Jacob B, Araz K, Bullen C, Murphy C, Redmond P. Protocol for a Scoping Review of Digital Scribes in Primary Care: Design, Implementation, Accuracy and Impact. HRB Open Research 2025;8:79 View
  10. Clusmann J, Balaguer-Montero M, Bassegoda O, Schneider C, Seraphin T, Paintsil E, Luedde T, Lopez R, Calderaro J, Gilbert S, Marjot T, Spann A, Shawcross D, Lens S, Trépo E, Kather J. The barriers for uptake of artificial intelligence in hepatology and how to overcome them. Journal of Hepatology 2025 View
  11. Pérez Martínez D. Proposal for Responsible Use of Generative Artificial Intelligence in Medical Practice. Revista de Neurología 2025;80(7) View
  12. 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

Dissertations

  1. . Implementation of Artificial Intelligence for Scribing in an Outpatient Mental Health Clinic. View