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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

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AI-Powered Ambient Scribe Technology Experiences Among Emergency Physicians: Cross-Sectional, Mixed Methods Pilot

Taylor Marquis¹, Matthew Kopp¹, Jared S Anderson¹

¹Department of Emergency Medicine, Alpert Medical School, Brown University, Providence, RI, United States.

JMIR Formative Research

|March 3, 2026

Summary

This summary is machine-generated.

Emergency physicians find ambient scribe technology satisfactory for improving documentation efficiency and reducing after-shift work. However, trust in accuracy and usefulness for specific tasks remain limited, highlighting the need for further optimization in emergency departments.

Keywords:

AI artificial intelligence clinical documentation electronic health records emergency department operations health care technology medical scribes natural language processing

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Area of Science:

Emergency Medicine
Health Informatics
Artificial Intelligence in Healthcare

Background:

Artificial intelligence (AI)-powered ambient scribe technology is being integrated into clinical documentation.
Existing studies on ambient scribes primarily focus on outpatient settings, yielding mixed results.
There is a significant need to evaluate ambient scribe technology specifically within the unique environment of the emergency department (ED).

Purpose of the Study:

To assess emergency physicians' (EPs) satisfaction with ambient scribe technology.
To evaluate perceived documentation efficiency, after-shift documentation time, and trust in AI-generated notes compared to traditional methods.
To identify ED-specific challenges associated with ambient scribe implementation.

Main Methods:

A cross-sectional survey was administered to 16 board-certified EPs across 4 EDs after several months of using ambient scribe technology.
The survey included multiple-choice and free-text questions to gather quantitative and qualitative data.
Mixed methods analysis involved descriptive statistics for quantitative data and thematic analysis for free-text responses.

Main Results:

A majority of surveyed EPs (64.3%) reported satisfaction with the ambient scribe.
The technology was perceived to improve documentation efficiency (71.4%) and reduce after-shift documentation time (64.3%).
Trust in the accuracy of AI-generated notes (42.9%) was lower than for in-person scribes (75%), with limited perceived usefulness for physical exams and medical decision-making.

Conclusions:

This pilot study provides early insights into ambient scribe use in the ED, suggesting potential for improved efficiency and reduced administrative burden.
Key challenges specific to the ED environment and patient population were identified.
While preferred over independent charting by most EPs, further optimization of functionality, reliability, and physician trust is necessary for widespread adoption.