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ShockSense: Early Recognition of Pediatric Hemorrhagic Shock

Project Description:

Hemorrhagic shock is one of the leading causes of preventable death in pediatric trauma, yet its early recognition remains difficult. ShockSense is a clinician-centered device that provides automated, real-time shock index calculations tailored specifically for children’s physiology. ShockSense uses a machine learning algorithm trained on pediatric trauma cases to provide a high-visibility display with color-coded risk levels, real-time vitals, and transfusion likelihood scores that can be integrated with any hospital monitor. The system streamlines decision-making in high-pressure environments to fill one of pediatric emergency care’s most critical diagnostic gaps.

Project Photo:

Project Photo for Team ShockSense, Early Recognition of Pediatric Hemorrhagic Shock

ShockSense: Early Recognition of Pediatric Hemorrhagic Shock

Student Team Members

Ella Holtermann
Isabella Godfrey
Vivien Jiang
Ashrith Kollu
Apple Wu

Course Faculty

Constanza Miranda, PhD

Project Mentors, Sponsors, and Partners

Mark Slidell, MD, MPH