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Automating Resident Case Logs: Narrative Review and Challenges Ahead.

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Automated case logging using electronic health records (EHR) improves surgical resident log accuracy and efficiency. Current systems are semiautomated, highlighting challenges in data integration and specialty needs.

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Area of Science:

  • Medical Informatics
  • Surgical Education
  • Health Systems Research

Background:

  • Manual compilation of surgical resident case logs is prone to inaccuracies and incompleteness.
  • Electronic Health Record (EHR) data offers potential for automating case logging.
  • Automation can enhance log accuracy and reduce resident administrative burden.

Purpose of the Study:

  • To review current literature on automated case logging systems.
  • To understand approaches, outcomes, and challenges of automated logging.
  • To identify trends in surgical resident operative experience documentation.

Main Methods:

  • Conducted a narrative review of MEDLINE, Scopus, and Embase databases (1946-2025).
  • Included English-language, peer-reviewed studies on automated or semiautomated case logging.
  • Excluded studies focusing solely on case log analysis without automation.

Main Results:

  • Screened 64 articles, identifying 8 semiautomated systems across various specialties.
  • No fully automated end-to-end systems were found.
  • Systems improved logged case numbers, accuracy, completeness, and efficiency, reducing administrative burden.

Conclusions:

  • Leveraging EHR data for automated resident case logging enhances accuracy and reduces workload.
  • Current systems are primarily semiautomated and institution-specific.
  • Challenges remain in data integration, coding consistency, and specialty-specific requirements.