Real-world evaluation of an ambient AI scribe in Spanish outpatient care after 2.3 million uses: impact on clinician experience, semantic agreement, and workflow efficiency - Summary - MDSpire
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Real-world evaluation of an ambient AI scribe in Spanish outpatient care after 2.3 million uses: impact on clinician experience, semantic agreement, and workflow efficiency
To assess the 16-month real-world implementation of an ambient AI documentation system (Scribe) in outpatient care in Spain, focusing on adoption, transcription semantic agreement, efficiency, and clinician experience.
Approach:
Method: label
Method: text
Key Findings:
Scribe adoption increased from 2.7% to ∼31% of all outpatient visits, totaling over 2.33 million assisted encounters.
Consultation duration showed modest differences, averaging 15.01 minutes with Scribe compared to 14.65 minutes without.
Semantic agreement remained high and stable, ranging from 87.4% to 89.2%.
Improvements in clinician experience were noted in five of seven domains.
Interpretation:
The large-scale deployment of the ambient AI documentation system was feasible, well-accepted, and associated with improvements in clinician experience.
Limitations:
The study relied on aggregated data, which may limit the granularity of insights.
No major changes in EHR workflows or organizational processes were reported, which could influence outcomes.
Conclusion:
The findings indicate that ambient AI documentation systems can enhance workflow efficiency and clinician experience in outpatient settings.
