MiSurg
Redesigning the Fundamentals of Laparoscopic Surgery (FLS) System to Improve Feedback & Pass Rates.
Goal:
Short-term: Enable trainees to pass the FLS exam by providing actionable, real-time and post-session feedback.
Long-term: Create a standardized, AI-enhanced feedback mechanism that improves core laparoscopic abilities, shortens learning curves, and raises the quality of patient care.
Background:
At a large public university medical school, surgical residents practice for the FLS manual skills exam a high-stakes test that determines readiness for advanced surgical training. Currently, feedback is infrequent, unstructured, and manual, leading to prolonged learning cycles and avoidable errors.
We employed qualitative and quantitative methods to synthesize a holistic view of the airport user experience.
🔍 Research Summary
Methods Used:
Contextual observations in FLS labs
9 semi-structured interviews (5 residents, 4 instructors)
Task analysis of existing FLS training flow
Competitive benchmarking (SIMPL, VBLaST, Touch Surgery)
Key Findings:
Residents needed quick visual cues to self-correct during solo practice.
Instructors had no efficient way to scale feedback across all residents.
Manual tools created friction and stress in an already high-pressure environment.
Practice videos were underutilized due to lack of annotation structure.
Supporting Evidence:
Studies show structured feedback significantly improves FLS performance (Edelman et al., 2012).
Non-surgeons can identify errors with similar accuracy to surgeons (Rooney et al., 2012), enabling scalable review via AI.
30+
Awards.
32+
Investments.
10K
Users.
In the bustling world of e-commerce, PixelCart Solutions is set to redefine the online shopping experience with a visionary project: Interactive E-Commerce Platform Enhancement. As the Lead UX Designer, I spearhead the mission to streamline user interactions, simplify the checkout process, and infuse a visual allure into the platform.
PixelCart aims to address common pain points such as a complicated checkout process, lack of personalization, and limited product discovery, promising users an elevated and more enjoyable shopping journey. The next steps involve user-centric prototyping, personalized recommendation features, and an intuitive approach to enhance product discovery.