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Mar 2, 2022

Predicting Liberation from Mechanical Ventilation in the Intensive Care Unit

Team: Amaranth

Program:

Biomedical Engineering

Project Description:

We aim to develop a model that can accurately predict independence from mechanical ventilation with an end-goal of supporting clinician’s informed decision-making, improving patient outcomes upon extubation, and decreasing ICU expenditures.

Team Members

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Project Mentors, Sponsors, and Partners

Course Faculty

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Additional Project Information

Project Photo

Project Photo Caption:

A photo representing our project in relation with successful liberation and mechanical ventilation.

Project Video

Mechanical ventilation is a short-term intervention for acute respiratory failure, and is required by 20-40% of U.S. ICU admissions. The appropriate timing of patient liberation from this ventilatory support is critical to avoid complications and reduce healthcare costs. We aimed to create models that could accurately predict independence from mechanical ventilation, as they would be pivotal in supporting clinician’s informed decision-making, improving patient outcomes upon extubation, and decreasing ICU expenditures.