Articles published in this theme: 25 (scroll down to load remaining articles)
2026
Impact of an Ambient AI Scribe Among Clinicians and Patients: Real-World Prospective Observational Time-Motion Study
JMIR Med Inform 2026 (Mar 31); 14:e85580
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A Bilingual Arabic-English Ambient AI Scribe for Clinical Documentation: Prospective Evaluation Study
JMIR Med Inform 2026 (Mar 24); 14:e83335
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Integrating a Large Language Model to Streamline Nursing Handover Documentation Across Multiple Hospitals in Taiwan: Development and Implementation Study
J Med Internet Res 2026 (Mar 12); 28:e81604
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Tailoring Discharge Summaries to Health Care Providers’ Needs (Part 1 of the Framework and Implementation of AI Tools Project): User-Centered Design Approach
JMIR Med Inform 2026 (Mar 04); 14:e80613
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AI-Powered Ambient Scribe Technology Experiences Among Emergency Physicians: Cross-Sectional, Mixed Methods Pilot Survey Study
JMIR Form Res 2026 (Mar 03); 10:e80401
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Ambient AI Documentation and Patient Satisfaction in Outpatient Care: Retrospective Pilot Study
JMIR AI 2026 (Feb 06); 5:e78830
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AI Scribes: Are We Measuring What Matters?
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
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
JMIR Med Inform 2026 (Jan 09); 14:e80205
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2025
Patient Attitudes Toward Ambient Voice Technology: Preimplementation Patient Survey in an Academic Medical Center
JMIR Med Inform 2025 (Nov 27); 13:e77901
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Streamlining Ophthalmic Documentation With Anonymized, Fine-Tuned Language Models: Feasibility Study
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
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
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
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
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
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
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
J Med Internet Res 2025 (Aug 06); 27:e74428
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AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration
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
J Particip Med 2025 (Jul 24); 17:e69564
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