Ambient artificial intelligence scribes: utilization and impact on documentation time
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View abstract on PubMed
Summary
This summary is machine-generated.A pilot study of an ambient artificial intelligence (AI) scribe using large language models showed significant reductions in physician documentation time and electronic health record (EHR) usage.
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.
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