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Machine learning

Artificial Intelligence May Mitigate Physician Burnout by Decreasing Documentation Time and Improving Clinical Workflow Efficiency

Strategic Insights

— 1 min read

Researchers at NOVA Southeastern University have conducted a scoping review of the role of artificial intelligence in physician burnout. The study, published in the Journal of Engineering, aimed to examine the impact of AI on physician burnout in the context of medical charting and administrative tasks. The findings indicate that AI may have the potential to mitigate physician burnout by decreasing documentation time, improving physician-patient interactions, and enhancing clinical workflow efficiency. However, challenges such as overreliance on AI and insufficient familiarity with technology may hinder the effective integration of AI into clinical practice.

Key Takeaways:

  • The study aimed to examine the impact of AI on physician burnout in the context of medical charting and administrative tasks, excluding its role in diagnosis or patient treatment.
  • The research found that AI may have the potential to mitigate physician burnout by decreasing documentation time, improving physician-patient interactions, and enhancing clinical workflow efficiency.
  • The study included an initial search of 663 articles, which were refined to eight articles after a systemized, rigorous search and selection process.
  • The researchers identified challenges such as overreliance on AI and insufficient familiarity with technology that may hinder the effective integration of AI into clinical practice.
  • The study concluded that these issues highlight areas of further development and research to advance AI technology integration into clinical practice.
  • The research was conducted by a team of authors including Brittany Shectman, Dr. Kiran C. Patel College of Osteopathic Medicine, NOVA Southeastern University, Fort Lauderdale, United States, and additional authors Curtis Ko, Daniel Uy, Cameron Minars, Brian Ingram, Nidhi Chary, Kaitlyn Chung, Graham Girdler, Hoa Le, Sahar Miri, and Robin J. Jacobs.

Statistics:

  • 663 articles were initially searched as part of the study.
  • 8 articles were refined to after a systemized, rigorous search and selection process.
  • 2014-2024: The time period in which articles were published for the study.
  • 17(7): The issue and volume number of the publication "Cureus" where the research was published.
  • 2618: The page number of the publication "Journal of Engineering" where the news report was published.

Sources:

  • A Scoping Review of the Role of Artificial Intelligence in Physician Burnout. Cureus, 2025;17(7).
  • NewsRx. Researchers at NOVA Southeastern University Discuss Findings in Artificial Intelligence (A Scoping Review of the Role of Artificial Intelligence in Physician Burnout). Journal of Engineering. September 15, 2025; p 2618.

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