Organizing and Improving Outcomes for Changing Teaching in Neurological Surgery Residency Using Innovation.
Melissa Miulli, Christopher Wong, Jose Gonzalez, Sanjay C Rao, Vartan Tashjian, Alice Wang, Paras Savla, Dan E Miulli
BACKGROUND: Neurosurgical training is uniquely constrained by prolonged duration, limited case volumes, and high-stakes decision-making that demands simultaneous mastery of technical skills, clinical judgment, professionalism, and communication. Traditional assessment systems often detect late deficits and provide insufficiently granular feedback for early, individualized remediation. METHODS: We implemented an integrated educational performance framework in an Accreditation Council for Graduate Medical Education (ACGME) osteopathic-recognized neurosurgery residency consisting of: (1) a point-based quarterly promotion system capturing required clinical, scholarly, and professional activities; (2) a resident-generated multiple-choice question and quiz program linked to didactic content and in-service exam domains; (3) simulation-enhanced technical training using cadavers, three-dimensional (3D)-printed models, and virtual reality; and (4) a predictive analytics dashboard that synthesizes longitudinal performance signals to identify strengths and emerging risks early. RESULTS: Across trainees, quarterly point totals and quiz performance provided actionable early markers of engagement and knowledge acquisition. Residents falling ≥10% below quarterly point thresholds on two consecutive quarters were reliably identified for goal-oriented success plans, enabling targeted remediation or, when necessary, determination of inability to meet program requirements. Quiz participation and scores are tracked with bi-monthly examinations and annual in-service performance, allowing topic-specific coaching and peer-mentoring by high performers. Simulation interventions demonstrated measurable skill acquisition and procedural efficiency improvements consistent with prior published program outcomes. CONCLUSIONS: A novel combined point-quiz-simulation framework, strengthened by predictive analytics, creates a closed-loop competency system that detects deficits early, amplifies strengths, and aligns resident and faculty actions to program mission, milestones, and patient-centered outcomes. This approach is feasible, transferable, and may help address regional neurosurgical access gaps by accelerating the development of safe, independent surgeons while preserving wellness and professionalism. A core finding of this manuscript is that measurable structure improves resident function.
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