06/02/2026
Introduction: The research trial proposed for the "Chicken Thigh Simulator" (CTS) model is fundamentally centered on a laboratory tool based on the Kaizen PDCA (Plan-Do-Check-Act) cycle. This tool formalizes the objective measurement of operator performance within the model, utilizing three distinct metrics: quantity of motion, quality of motion, and final product quality.
This protocol adheres to procedural evaluation standards established by process engineering specialists (previously documented and published in World Neurosurgery, granting it both efficacy and validity). Furthermore, it aligns with requirements suggested by international institutions (ISEM & IMSS), aiming to enhance the validity of global simulation-based assessments.
17/12/2025
Se presenta un modelo de simulación quirúrgica para suturas de piel con métricas objetivas de habilidad y resultado final.
MODELO: standard de material sintético siliconado
METRICAS: cantidad (medición indirecta por tiempo de procedimiento, TCT, ver validación en papers publicados en este sitio) y calidad de movimiento (medición por re-ingeniería del procedimiento basado en errores mayores y menores, ver validación en papers publicados en este sitio), sumados a medición por score de calidad de productor finalo.
METODO: protocolo standarizado (basado en Kaizen PDCA, extrapolado de valoración microquirúrgica avanzada) y medición de múltiples operadores en sesión experimental coordinada en 2 grupos de operadores de diversos niveles de habilidad previa. Se anonimizarán los datos del operador para luego comparar sus curvas de habilidad e interpretar resultados intra-operador e inter-operador.
RESULTADOS: métricas anónimas con envío de reporte de performance individual. Mediciones grupales continuarán con anonimación de datos para ser presentados en forma sintética.
16/12/2025
The learning curve (LC), a multifaceted concept, plays a pivotal role in evaluating surgical training. This study aimed to define critical inflection points in the microsurgical learning curve, develop a reliable index for skill assessment, and statistically validate this approach using Poisson distribution theory.
14/12/2025
Objective measures and precise variable selection are cornerstones of skill assessment. Currently, the quantity and quality of movements in microsurgery are evaluated using advanced technology and innovative methods. Even so, it is not easy to move the focus out of the idea that improving skills generates faster procedures. Critical analysis reveals that quality does not always align with speed, nor does better performance necessarily mean faster performance. This study aims to analyze and describe the progression of time variables during skill training.
The full paper can be found here: time assessment preview
14/12/2025
Microsurgical interventions involve the interaction of numerous variables, making objective analysis of skill proficiency challenging. This difficulty is even more pronounced in low-resource contexts. Continuous improvement methodologies such as Kaizen-planning, doing, checking, acting (PDCA) and micromovements science (MMS) can address this issue. This study aimed to demonstrate the advantages of designing and implementing microsurgical training programs using these methodologies.
The full paper can be found here: WNEU22652