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[How are resident physicians evaluated? The residents' computerized activity record].

Xavier Serra Aracil1, Salvador Navarro Soto, Eva Artigau Nieto

  • 1Servicio de Cirugía General y Aparato Digestivo, Corporación Sanitaria Parc Taulí, Sabadell, Barcelona, España. 22341jsa@comb.es

Cirugia Espanola
|September 8, 2006
PubMed
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This study introduces an integral evaluation model for surgical residents, assessing both theoretical knowledge and practical skills. The system enables objective, quantifiable tracking of resident progress throughout their training.

Area of Science:

  • Medical Education
  • Surgical Training
  • Healthcare Quality Improvement

Background:

  • Advancements in surgery necessitate updated resident training and evaluation methods.
  • Current training requires comprehensive assessment of both theoretical knowledge and surgical skills.
  • An integral evaluation model is proposed to address these evolving needs.

Purpose of the Study:

  • To present an integrated evaluation model for surgical resident training.
  • To demonstrate a system for assessing theoretical knowledge and surgical skills.
  • To facilitate objective and quantifiable evaluation of resident progress.

Main Methods:

  • Implementation of a computerized activity record for surgical residents (medico interno residente [MIR]).
  • Four training branches: clinical work, continuing education, research, and activity evaluation.

Related Experiment Videos

  • Six-monthly evaluations to quantify resident activity and enable comparisons.

    • Main Results:

    • A resident-specific database was established in July 2004 to record all activities.
    • The system allows for the presentation of overall and individual resident activity.
    • Data collection and tracking of resident performance were initiated.

    Conclusions:

    • The model provides objective, longitudinal follow-up of resident progress.
    • Widespread adoption could standardize evaluation criteria across institutions.
    • This system aids in identifying training deviations and facilitates inter-center comparisons.