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Evaluating the impact of artificial intelligence scribes on clinical documentation in primary care: a simulation
LaShawn Murray1, Emily Ha2,3, Qianyue Wang4
1Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, M5S 3G8, Canada.
Objectives:
To investigate the performance of artificial intelligence (AI) scribes and their impact on clinical documentation time.
Materials And Methods:
Artificial intelligence scribes were assessed using clinical simulations with 9 primary care physicians, each conducting 4 simulated encounters with standardized patients with and without the use of an AI scribe. Clinical simulations were audio and video recorded, and videos were coded for documentation behaviors using a designed coding scheme.
Results:
Clinical documentation accounts for 36.3% of the simulated clinical encounter without the use of the AI scribe, whereas primary care physicians spend 11.2% of the simulated encounter on clinical documentation when using an AI scribe. The use of AI scribes accounts for a 69.1% reduction in documentation time.
Discussion:
Clinical simulations offered a controlled and realistic environment to assess the impact of AI scribes on primary care physicians' workflows, demonstrating their potential to reduce documentation time.
Conclusion:
Artificial intelligence scribes demonstrate potential to alleviate the burden of clinical documentation, addressing a critical factor contributing to physician burnout. Further research is needed to understand the impact of AI scribes in real-life clinical settings across complex patient scenarios.
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