Ambient AI Scribes and AI-Driven Documentation Technologies

Ambient AI Documentation and Patient Satisfaction in Outpatient Care: Retrospective Pilot Study

Eric Davis, Sarah Davis, Kristina Haralambides, Conrad Gleber, Gregg Nicandri

JMIR AI 2026 (Feb 06); 5:e78830

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AI Scribes: Are We Measuring What Matters?

Enrico Coiera, David Fraile-Navarro

JMIR Med Inform 2026 (Feb 06); 14:e89337

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Data Poisoning Vulnerabilities Across Health Care Artificial Intelligence Architectures: Analytical Security Framework and Defense Strategies

Farhad Abtahi, Fernando Seoane, Ivan Pau, Mario Vega-Barbas

J Med Internet Res 2026 (Jan 23); 28:e87969

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Large Language Model–Enabled Editing of Patient Audio Interviews From “This Is My Story” Conversations: Comparative Study

Bikram Bains, Sampath Rapuri, Edgar Robitaille, Jonathan Wang, Arnav Khera, Catalina Gomez, Eduardo Reyes, Cole Perry, Jason Wilson, Elizabeth Tracey

JMIR Med Inform 2026 (Jan 09); 14:e80205

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Patient Attitudes Toward Ambient Voice Technology: Preimplementation Patient Survey in an Academic Medical Center

Gary Leiserowitz, Jeff Mansfield, Scott MacDonald, Melissa Jost

JMIR Med Inform 2025 (Nov 27); 13:e77901

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Streamlining Ophthalmic Documentation With Anonymized, Fine-Tuned Language Models: Feasibility Study

Sebastian Arens, Quang Vinh Ngo, Anna Richling, Lucas Stürzbecher, Daniel Böhringer, Thomas Reinhard, Felix Heilmeyer

Interact J Med Res 2025 (Nov 26); 14:e72894

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A Bilingual On-Premises AI Agent for Clinical Drafting: Implementation Report of Seamless Electronic Health Records Integration in the Y-KNOT Project

Hanjae Kim, So-Yeon Lee, Seng Chan You, Sookyung Huh, Jai-Eun Kim, Sung-Tae Kim, Dong-Ryul Ko, Ji Hoon Kim, Jae Hoon Lee, Joon Seok Lim, Moo Suk Park, Kang Young Lee

JMIR Med Inform 2025 (Nov 24); 13:e76848

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Challenges and Solutions in Applying Large Language Models to Guideline-Based Management Planning and Automated Medical Coding in Health Care: Algorithm Development and Validation

Peter Sarvari, Zaid Al-fagih, Alexander Abou-Chedid, Paul Jewell, Rosie Taylor, Arouba Imtiaz

JMIR Biomed Eng 2025 (Nov 10); 10:e66691

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Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review

Naga Sasidhar Kanaparthy, Yenny Villuendas-Rey, Tolulope Bakare, Zihan Diao, Mark Iscoe, Andrew Loza, Donald Wright, Conrad Safranek, Isaac V Faustino, Alexandria Brackett, Edward R Melnick, R Andrew Taylor

JMIR AI 2025 (Oct 10); 4:e76743

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Large Language Model–Supported Identification of Intellectual Disabilities in Clinical Free-Text Summaries: Mixed Methods Study

Aleksandra Edwards, Antonio F Pardiñas, George Kirov, Elliott Rees, Jose Camacho-Collados

JMIR AI 2025 (Sep 18); 4:e72256

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Development and Validation of a Large Language Model–Based System for Medical History-Taking Training: Prospective Multicase Study on Evaluation Stability, Human-AI Consistency, and Transparency

Yang Liu, Chujun Shi, Liping Wu, Xiule Lin, Xiaoqin Chen, Yiying Zhu, Haizhu Tan, Weishan Zhang

JMIR Med Educ 2025 (Aug 29); 11:e73419

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Health Care Professionals’ Experiences and Opinions About Generative AI and Ambient Scribes in Clinical Documentation: Protocol for a Scoping Review

Carolina Garcia Sanchez, Anna Kharko, Maria Hägglund, Sara Riggare, Charlotte Blease

JMIR Res Protoc 2025 (Aug 08); 14:e73602

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Generative Artificial Intelligence in Primary Care: Qualitative Study of UK General Practitioners’ Views

Charlotte Blease, Carolina Garcia Sanchez, Cosima Locher, Brian McMillan, Jens Gaab, John Torous

J Med Internet Res 2025 (Aug 06); 27:e74428

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AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration

Tiffany I Leung, Andrew J Coristine, Arriel Benis

JMIR Med Inform 2025 (Aug 01); 13:e80898

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Patient Perspectives on Artificial Intelligence in Health Care: Focus Group Study for Diagnostic Communication and Tool Implementation

Garrett Foresman, Joshua Biro, Alberta Tran, Kate MacRae, Sadaf Kazi, Laura Schubel, Adam Visconti, William Gallagher, Kelly M Smith, Traber Giardina, Helen Haskell, Kristen Miller

J Particip Med 2025 (Jul 24); 17:e69564

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Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis

Emily Ha, Isabelle Choon-Kon-Yune, LaShawn Murray, Siying Luan, Enid Montague, Onil Bhattacharyya, Payal Agarwal

JMIR Hum Factors 2025 (Jul 23); 12:e71434

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Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study

Jeremy A Balch, Sasank S Desaraju, Victoria J Nolan, Divya Vellanki, Timothy R Buchanan, Lindsey M Brinkley, Yordan Penev, Ahmet Bilgili, Aashay Patel, Corinne E Chatham, David M Vanderbilt, Rayon Uddin, Azra Bihorac, Philip Efron, Tyler J Loftus, Protiva Rahman, Benjamin Shickel

JMIR Med Inform 2025 (Jul 09); 13:e71176

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Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese

Seiji Shimizu, Tomohiro Nishiyama, Hiroyuki Nagai, Shoko Wakamiya, Eiji Aramaki

JMIR Med Inform 2025 (Jul 08); 13:e76773

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Accuracy and Safety of AI-Enabled Scribe Technology: Instrument Validation Study

Joshua Biro, Jessica L Handley, Nathan K Cobb, Varsha Kottamasu, Jeffrey Collins, Seth Krevat, Raj M Ratwani

J Med Internet Res 2025 (Jan 27); 27:e64993

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

Marieke Meija van Buchem, Ilse M J Kant, Liza King, Jacqueline Kazmaier, Ewout W Steyerberg, Martijn P Bauer

JMIR AI 2024 (Sep 23); 3:e60020

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