Current status of simulation training in plastic surgery residency programs: A review.
- Author:
Jennifer E THOMSON
1
;
Grace POUDRIER
;
John T STRANIX
;
Catherine C MOTOSKO
;
Alexes HAZEN
Author Information
- Publication Type:Review
- Keywords: Simulation training; Education, medical; Surgery, plastic; Internship and residency
- MeSH: Animals; Curriculum; Education, Medical; Employment; Internship and Residency*; Learning; Learning Curve; Operating Rooms; Plastics*; Prevalence; Simulation Training*; Surgery, Plastic*
- From:Archives of Plastic Surgery 2018;45(5):395-402
- CountryRepublic of Korea
- Language:English
- Abstract: Increased emphasis on competency-based learning modules and widespread departure from traditional models of Halstedian apprenticeship have made surgical simulation an increasingly appealing component of medical education. Surgical simulators are available in numerous modalities, including virtual, synthetic, animal, and non-living models. The ideal surgical simulator would facilitate the acquisition and refinement of surgical skills prior to clinical application, by mimicking the size, color, texture, recoil, and environment of the operating room. Simulation training has proven helpful for advancing specific surgical skills and techniques, aiding in early and late resident learning curves. In this review, the current applications and potential benefits of incorporating simulation-based surgical training into residency curriculum are explored in depth, specifically in the context of plastic surgery. Despite the prevalence of simulation-based training models, there is a paucity of research on integration into resident programs. Current curriculums emphasize the ability to identify anatomical landmarks and procedural steps through virtual simulation. Although transfer of these skills to the operating room is promising, careful attention must be paid to mastery versus memorization. In the authors' opinions, curriculums should involve step-wise employment of diverse models in different stages of training to assess milestones. To date, the simulation of tactile experience that is reminiscent of real-time clinical scenarios remains challenging, and a sophisticated model has yet to be established.
