Back to Search
OtherOpen Access

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

Author Affiliations
Southern Illinois University School of Medicine, JMIR Publications, Queens University, McGill University, ...
Published InJMIR Medical Informatics
Year2025
Citations31

Abstract

Unlabelled: The administrative burden of clinical documentation contributes to health care practitioner burnout and diverts valuable time away from direct patient care. Ambient artificial intelligence (AI) scribes-also called "digital scribes" or "AI scribes"-are emerging as a promising solution, given their potential to automate clinical note generation and reduce clinician workload, and those specifically built on a large language model (LLM) are emerging as technologies for facilitating real-time clinical documentation tasks. This potentially transformative development has a foundation on longer-standing, AI-based transcription software, which uses automated speech recognition and/or natural language processing. Recent studies have highlighted the potential impact of ambient AI scribes on clinician well-being, workflow efficiency, documentation quality, user experience, and patient interaction. So far, limited evidence indicates that…
View at Publisher

BORR does not host full-text PDFs. The button above takes you to the original publisher.