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Related Experiment Video

Updated: Jun 25, 2026

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

Ambient AI Scribe Implementation in an Ambulatory Setting in a Single Medical Group: Prospective Study.

Cameron J Harvey1, Josiah Morita2, William Huynh3

  • 1Tripler Army Medical Center, 1 Jarrett While Rd, Honolulu, HI, 96859, United States, 1 2172943329.

JMIR Medical Informatics
|June 24, 2026
PubMed
Summary

Related Concept Videos

Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities

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Ambient AI-assited clinical documentation in surgical outpatient care: a preliminary study of usability, workflow, and patient experience.

World journal of pediatric surgery·2025
See all related articles

Ambient AI scribes significantly reduced electronic medical record (EMR) documentation time for healthcare providers, decreasing both in-clinic and after-hours work. While burnout symptoms did not significantly change, provider workload perception improved.

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Clinical Documentation

Background:

  • Healthcare providers face excessive time demands in electronic medical record (EMR) systems for patient documentation.
  • This extensive documentation contributes to physician productivity loss and burnout.
  • Artificial intelligence (AI) tools, including speech recognition and note generation, are emerging in healthcare, but their impact on provider satisfaction and patient outcomes is understudied.

Purpose of the Study:

  • To assess the impact of ambient AI on medical documentation efficiency.
  • To evaluate the effects of ambient AI on provider burnout and time spent in EMR systems.
  • To examine the influence of ambient AI on clinical note quality and patient satisfaction.

Main Methods:

Keywords:
AIambient artificial intelligenceartificial intelligenceburnoutdocumentationefficiencyhealth care technologywork satisfaction

Related Experiment Videos

Last Updated: Jun 25, 2026

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

  • A prospective pilot study involving 79 providers at Hawaii Pacific Health Medical Group.
  • Integration of the Abridge AI platform with the Epic EMR system for a 3-month trial.
  • Data collection through pre- and during-trial surveys, EMR metrics (Epic Signal), and AI platform data, analyzing outcomes based on AI usage frequency.

    • Main Results:

    • High-frequency AI users experienced a 21% decrease in daily note time (-13.6 minutes) and a 13% reduction in after-hours work.
    • Providers using ambient AI reported a 76% decrease in those spending ≥8 hours weekly on notes outside clinic hours.
    • A 22% increase in physicians reporting no burnout symptoms was observed, alongside decreased perceived workload and favorable self-reported note quality.

    Conclusions:

    • Ambient AI scribes effectively reduced documentation time for providers, both within and outside of clinical hours.
    • The study indicated no significant change in provider burnout symptoms despite reduced documentation workload.
    • Patient experience, specifically regarding provider attentiveness, remained unaffected by the implementation of ambient AI documentation tools.