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Published on: September 20, 2018
Artificial intelligence-generated encounter summaries: early insights from ambulatory clinicians at a large academic
Jared Silberlust1, Priyanka Solanki1, Elizabeth R Stevens1
1MCIT Department of Health Informatics, NYU Langone Health, New York, NY 10016, United States.
Objectives:
Assess time impact and provider perception of AI-generated encounter summaries.
Materials And Methods:
An artificial intelligence (AI) clinical note summarization tool was deployed in ambulatory practices for 22 providers. A 6-month pre-post analysis evaluated changes in EHR time, and survey feedback assessed tool utility.
Results:
Among 17 providers with complete Epic Signal time data, average time spent in clinical review per visit decreased from 3:22 minutes pre-intervention (8345 visits) to 3:04 minutes post-intervention (7924 visits). Higher baseline review time was significantly associated with greater post-implementation reductions, with each additional minute at baseline linked to an 8.6-second decrease in review time (P = .046). The majority of providers reported high tool accuracy and time saving.
Discussion:
AI-generated summaries appear most beneficial for clinicians who initially spend the longest time in chart review, suggesting a targeted efficiency gain. Providers expressed optimism about the tool's potential to streamline clinical workflows.
Conclusion:
Early experience with AI-generated summaries shows promise in improving provider workflow.
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