Using optimization models to demonstrate the need for structural changes in training programs for surgical medical...

Area of Science:

• Medical Education
• Operations Research
• Surgical Training

Background:

• Residency programs aim to prepare physicians for independent practice.
• Duty hour restrictions and diverse stakeholder demands conflict with resident learning goals.
• Surgical residents must balance continuity of care, surgical experience, and educational activities.

Purpose of the Study:

• To evaluate the feasibility of achieving surgical resident learning goals under current training models.
• To identify systemic problems within surgical resident education using an optimization approach.
• To propose necessary redesigns for surgical medical resident training.

Main Methods:

• Developed a multi-objective, two-stage stochastic optimization model with anticipatory capabilities.
• Incorporated learning curve theory into the objective function.
• Utilized a rolling time horizon and a deterministic model version to identify goal achievement bounds.

Main Results:

• Computational experiments highlighted structural problems in the existing surgical resident educational system.
• Identified limitations in achieving learning goals under current training paradigms.
• Results corroborated previous findings on educational system deficiencies.

Conclusions:

• The current surgical resident educational system has inherent structural issues.
• Achieving resident learning goals is constrained by existing training paradigms.
• A redesign of the educational system is essential for surgical medical residents.