Voices in Orthopaedics™…The Residency Programs: From The University at Buffalo- Evaluating the Role of the Learning Curve in Orthopaedic Residency Education: A Review

Orthopedic surgical educational strategies have rapidly advanced, driven by increasing technical complexity in the breadth of procedures within the specialty, the introduction of novel educational supplementation including simulation-based training, and the introduction of structured feedback mechanisms to encourage competency-based training. The learning curve for various common orthopedic procedures have been previously evaluated and described; however, these changes to orthopedic education need to be considered with regards to their effect on learning curve. Increased standardization of educational curricula, including case minimums and definitions of the levels of supervision at various training levels, must be additionally considered with respect to the learning curve for procedures for which orthopedic residents must become competent during training. This review underscores the need for tailored training paradigms emphasizing high-volume exposure for complex procedures and structured simulation for skill-based learning. Standardized definitions of supervision should be included in updated assessments of the learning curve to better inform orthopedic educational initiatives.

Authors

Institutions

Publication Details

Journal
Journal of Orthopaedic Experience & Innovation
Published
2026-08-24
DOI
https://doi.org/10.60118/001c.165499
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Voices in Orthopaedics™…The Residency Programs: From The University at Buffalo- Evaluating the Role of the Learning Curve in Orthopaedic Residency Education: A Review

Taylor Rick, Ellen Lutnick, Zachary Troiani, Meaghan Gleason et al.
Journal of Orthopaedic Experience & Innovation
Surgical Simulation and Training
article

Voices in Orthopaedics™…The Residency Programs: From The University at Buffalo- Evaluating the Role of the Learning Curve in Orthopaedic Residency Education: A Review

Taylor Rick, Ellen Lutnick, Zachary Troiani, Meaghan Gleason, Danil Chernov
article en

Abstract

Orthopedic surgical educational strategies have rapidly advanced, driven by increasing technical complexity in the breadth of procedures within the specialty, the introduction of novel educational supplementation including simulation-based training, and the introduction of structured feedback mechanisms to encourage competency-based training. The learning curve for various common orthopedic procedures have been previously evaluated and described; however, these changes to orthopedic education need to be considered with regards to their effect on learning curve. Increased standardization of educational curricula, including case minimums and definitions of the levels of supervision at various training levels, must be additionally considered with respect to the learning curve for procedures for which orthopedic residents must become competent during training. This review underscores the need for tailored training paradigms emphasizing high-volume exposure for complex procedures and structured simulation for skill-based learning. Standardized definitions of supervision should be included in updated assessments of the learning curve to better inform orthopedic educational initiatives.

Journal of Orthopaedic Experience & Innovation
University at Buffalo, State University of New York (US)
Quality Education
Openalex Percentile: Top 7%
Surgical Simulation and Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.