Overcoming Systems Factors in Case Logging with Artificial Intelligence Tools

Journal of Surgical Education(2022)

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摘要
Mapping the influence of systems and human factors in high-quality case logs allows us to target interventions to continually improve the training of surgical residents. System level factors such as access to alternate automation-drive tools and operative schedule integrated platforms to assist in ACGME case log has a significant impact on the number of cases captured in logs.
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关键词
Surgical education,Quantitative Data in Medical Education,ACGME operative logs,Machine Learning,Reinforcement Learning,Artificial Intelligence
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