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Analysis of training pathway to reach expert performance levels based on proficiency-based progression in robotic-assisted minimally invasive esophagectomy (RAMIE).

Dolores T MüllerStefanie BrunnerJennifer StraatmanBenjamin BabicJennifer A EckhoffAlissa ReisewitzChristian StormsLars M SchiffmannThomas SchmidtWolfgang SchröderChristiane J BrunsHans F Fuchs
Published in: Surgical endoscopy (2023)
Our data and analysis showed the progression from proficient to expert performance levels during the implementation of RAMIE at a European high-volume center. Further analysis of surgeons, especially with a different training status has yet to reveal if the caseloads found in this study are universally applicable. However, skill acquisition and respective measures of such are diverse and as a great range of number of cases was observed, we believe that the learning curve and ascent in performance levels cannot be defined by one parameter alone.
Keyphrases
  • minimally invasive
  • healthcare
  • primary care
  • clinical practice
  • electronic health record
  • robot assisted
  • big data
  • dna methylation
  • deep learning
  • data analysis