Does the use of ambient artificial intelligence scribe technology decrease documentation time and burnout?

Background: The burden of electronic health record (EHR) documentation is a contributor to clinician dissatisfaction and burnout, significantly affecting physician associates (PAs). Traditional medical scribes can alleviate documentation workload, but their accessibility is limited due to cost and availability. Ambient artificial intelligence (AI) scribe technology offers a potential solution by utilizing real-time transcription and machine learning to assist with clinical documentation. Objective: This review evaluates emerging research on ambient AI scribe technology, examining its impact on clinician documentation time and burnout. Methods: A literature review was conducted using key search terms including “ambient,” “artificial intelligence,” “burnout,” “clinician,” “documentation,” and “scribe.” Studies published within the past 5 years, including prospective grouped trials and mixed-methods research, were analyzed to assess the efficacy of AI-assisted documentation. Three primary studies were identified that evaluated real-world implementation of ambient AI scribes. Results: Two studies demonstrated a statistically significant reduction in documentation time, including after-hours charting (“pajama time”). A third study included survey data that demonstrated a measurable reduction in burnout among users of ambient AI scribe technology. Qualitative improvements in physician satisfaction were also seen. However, concerns remain regarding accuracy, AI-generated errors, and time required for review and editing. Conclusion: Early evidence suggests that ambient AI scribe technology may effectively decrease documentation time and clinician burnout. Further large-scale prospective studies are needed to validate these findings, assess the technology’s impact on PAs specifically, and address challenges related to accuracy.