AI Scribe Systems Do Not Boost Clinical Productivity

New research finds that while AI reduces note-taking time, it fails to improve overall clinician workflow efficiency.

Updated on Oct. 26, 2026 in Artificial Intelligence

Isometric editorial illustration of a clean, minimalist hospital examination room, representing the structural analysis of clinical workflow technology. — A 14-hospital study found that ambient AI scribe systems failed to boost clinical productivity, despite reducing initial note-taking duration for providers. AI Illustration. Upload story photo >

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A study of 902 clinicians at a 14-hospital health system found that while ambient AI scribe systems reduced median note-active time from 21 minutes to 18.6 minutes, they did not improve overall clinical productivity. The researchers observed that the use of these tools, which launched in January 2025, actually led to an increase in median note length.

Why it matters

The findings suggest that ambient AI scribes may shift the nature of administrative work rather than reducing it, highlighting a gap between efficiency claims and clinical outcomes. This complicates the potential of these tools to mitigate widespread clinician burnout, which affected 43.2% of clinicians in 2024.

The adoption of the Heidi ambient scribe system resulted in a 2.4-minute reduction in median note-active time per encounter. However, median note length increased by 333 characters, suggesting the AI-generated documentation may be more verbose than manual entry.

The players

Heidi

An ambient AI scribe platform designed to automate clinical documentation via real-time speech processing.

Beth Israel Lahey Health

A 14-hospital health system that implemented the Heidi scribe system for its clinical staff.

The details

Ambient AI scribes use speech-to-text algorithms to record and transcribe interactions between patients and providers in real-time. In this implementation, the system generates draft notes based on the conversation, which clinicians then review and finalize. The research indicates that while the software effectively captures more data, it does not reduce the overall burden of electronic health record management for hospital staff.

In 2024, 43.2% of clinicians reported symptoms of burnout.
The health system launched the Heidi scribe system in January 2025.
Between January and November 2025, 1,140 clinicians enrolled in the system.

The Tech Race

As health systems rush to adopt ambient AI to combat EHR fatigue, this study serves as a benchmark against the industry-wide assumption that automation naturally translates to productivity gains. It stands in contrast to the rapid commercial deployment of these tools, which currently operate as low-risk medical devices.

Clinicians currently spending 3 hours on off-hour documentation may not see immediate improvements in their total workload despite shorter active-note times. Health systems remain in the early phase of evaluating how these AI tools affect overall clinical workflows versus manual documentation.

The takeaway

While ambient AI reduces the time spent actively writing notes, it does not currently solve the broader problem of clinical productivity or reduce the hours clinicians spend on administrative work. Future research will need to verify if these systems improve documentation accuracy or simply produce more text for clinicians to manage.