Early detection of Septic shocks using vital signs

SpassMed’s ShockRanger is a primary product that utilizes vital signs from patient monitors to provide healthcare providers with meaningful signals for clinical decision-making. SpassMed is seeking one or more methods that can accurately forecast shocks, particularly Septic shock, among patients in ICUs. In addition, SpassMed aims to develop models for effectively classifying patients into their diagnosed diseases, with a specific focus on Sepsis. Sepsis and septic shock have the highest mortality rates in hospitals, and time-sensitive interventions are crucial in making the difference between life and death. Research conducted by Critical Care indicates that between 24.4% to 38.8% of patients die from Sepsis and Septic shock. Failure to predict shocks in a timely manner can prevent hospitals from assigning resources and taking immediate action, which can lead to life-threatening consequences.

Faculty Supervisor:

Igor Jurisica;Vardan Papyan;Adam Stinchcombe

Student:

Partner:

SpassMed

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program: