Accelerating AI Adoption for Reducing Administrative Burden in Primary Care: Insights from Evaluating AI Scribes

Area of Science:

• Healthcare Informatics
• Medical Technology
• Clinical Administration

Background:

• Artificial intelligence (AI) adoption in healthcare is inconsistent, particularly for administrative tasks.
• AI scribes offer potential solutions to alleviate provider workload and enhance well-being.

Purpose of the Study:

• To evaluate the effectiveness of AI scribes in reducing administrative burden in primary care.
• To propose a structured approach for equitable AI adoption in Canadian primary care settings.

Main Methods:

• A two-phase evaluation of AI scribe implementation.
• Assessment of documentation time reduction and provider feedback.
• Development of a framework for fit-for-purpose AI assessments and inclusive deployment.

Main Results:

• Significant reductions in documentation time were observed.
• Positive provider feedback indicated improved well-being.
• The evaluation prompted provincial procurement of AI scribe technology.

Conclusions:

• AI scribes are effective tools for reducing administrative workload and enhancing provider well-being.
• Tailored, inclusive evaluations and structured adoption frameworks are essential for equitable AI deployment in primary care.
• Broader AI adoption can improve access and quality of care in Canadian primary care settings.