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Sub-Internship Academy: Implementation and Evaluation of Single-Day Resident-Driven Focused Sub-Internship
Zsombor T Gal1, Pranav Nanda1, Brian Hsueh1
1Department of Neurosurgery, Massachusetts General Brigham, Harvard Medical School, Boston, Massachusetts, USA.
A 1-day neurosurgery sub-internship academy effectively prepared medical students for residency, enhancing their readiness and enthusiasm. The program provided valuable mentorship opportunities and positively impacted perceived performance.
Area of Science:
- Neurosurgery Education
- Medical Training Programs
- Residency Preparation
Background:
- Neurosurgical sub-internships are crucial for residency applications, requiring skills beyond standard medical school curricula.
- There is a need for efficient, feedback-driven preparation programs that foster enthusiasm and mentorship.
- A 1-day sub-internship academy was developed by residents to address these needs.
Purpose of the Study:
- To design and implement a comprehensive 1-day neurosurgery sub-internship academy.
- To evaluate the academy's impact on student readiness, enthusiasm, and perceived performance.
- To gather student feedback for future program improvements.
Main Methods:
- A 1-day academy curriculum featured 3 hands-on and discussion-based workshops.
- Anonymous surveys were administered immediately post-academy and after sub-internships.
- Participant perceptions of the academy's utility and impact were assessed.
Main Results:
- 88.9% of participants reported maximal impact on sub-internship readiness; 77.8% reported maximal impact on enthusiasm.
- The academy positively influenced access to mentorship.
- All respondents to the post-sub-internship survey agreed the academy prepared them for success.
Conclusions:
- The neurosurgery sub-internship academy was positively received, demonstrating relevance and utility.
- The program successfully fostered enthusiasm for neurosurgery and provided mentorship opportunities.
- Participants reported a positive impact on their sub-internship performance, with feedback for future enhancements.
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