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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Clinical Documentation Improvement

Background:

  • Physician burnout is a significant concern, often exacerbated by extensive documentation requirements.
  • Ambient AI scribes offer a potential solution to alleviate documentation burden.

Purpose of the Study:

  • To quantify the utilization of a large language model-powered ambient AI scribe.
  • To assess the impact of this AI scribe on physician documentation time and electronic health record (EHR) usage.

Main Methods:

  • A prospective quality improvement study involving 45 physicians across 8 ambulatory disciplines.
  • Data on utilization and documentation times were collected from EHR measures over a 3-month period.

Main Results:

  • The ambient AI scribe was used in 55.25% of encounters, with considerable variation among users.
  • Significant reductions were observed in median time per note (0.57 minutes), daily documentation time (6.89 minutes), after-hours EHR time (5.17 minutes), and total EHR time (19.95 minutes).

Conclusions:

  • Early pilot results indicate robust utilization and significant time savings associated with ambient AI scribes.
  • Further research is necessary to optimize AI scribe benefits for diverse user groups and future technological advancements.