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Achieving Accreditation Council for Graduate Medical Education duty hours compliance within advanced surgical training: a simulation-based feasibility assessment.
Obi, Andrea; Chung, Jennifer; Chen, Ryan; Lin, Wandi; Sun, Siyuan; Pozehl, William; Cohn, Amy M; Daskin, Mark S; Seagull, F Jacob; Reddy, Rishindra M.
Afiliación
  • Obi A; Department of Surgery, University of Michigan, Ann Arbor, MI, USA. Electronic address: easta@med.umich.edu.
  • Chung J; Department of Surgery, University of Pennsylvania Health System, Philadelphia, PA, USA.
  • Chen R; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Lin W; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Sun S; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Pozehl W; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Cohn AM; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA; Department of Industrial and Operations Engineering, Center for Healthcare Engineering and Patient Safety, Ann Arbor, MI, USA.
  • Daskin MS; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Seagull FJ; Department of Medical Education, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Reddy RM; Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Department of Medical Education, University of Michigan Medical School, Ann Arbor, MI, USA.
Am J Surg ; 210(5): 947-50.e1, 2015 Nov.
Article en En | MEDLINE | ID: mdl-26186802
ABSTRACT

BACKGROUND:

Certain operative cases occur unpredictably and/or have long operative times, creating a conflict between Accreditation Council for Graduate Medical Education (ACGME) rules and adequate training experience.

METHODS:

A ProModel-based simulation was developed based on historical data. Probabilistic distributions of operative time calculated and combined with an ACGME compliant call schedule.

RESULTS:

For the advanced surgical cases modeled (cardiothoracic transplants), 80-hour violations were 6.07% and the minimum number of days off was violated 22.50%. There was a 36% chance of failure to fulfill any (either heart or lung) minimum case requirement despite adequate volume.

CONCLUSIONS:

The variable nature of emergency cases inevitably leads to work hour violations under ACGME regulations. Unpredictable cases mandate higher operative volume to ensure achievement of adequate caseloads. Publically available simulation technology provides a valuable avenue to identify adequacy of case volumes for trainees in both the elective and emergency setting.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Admisión y Programación de Personal / Trasplante de Corazón / Trasplante de Pulmón / Educación de Postgrado en Medicina Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Am J Surg Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Admisión y Programación de Personal / Trasplante de Corazón / Trasplante de Pulmón / Educación de Postgrado en Medicina Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Am J Surg Año: 2015 Tipo del documento: Article