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Engineering Design: Sepsis Support for Google Glass

Working with Prof. Prem Devanbu of the Department of Computer Science at UC Davis, this team (Sushil Khadka, Jonathan King, George Pantazes, Hoc Vo, Casey Wilson) used Google Glass technology to provide clinical data and intelligent decision support to doctors in cases of sepsis so they can provide informed, quality care that can potentially save lives. What is sepsis? Sepsis is an overwhelming immune response to infection, which damages its own tissues and organs. It can happen at any age, regardless of health condition and many times from seemingly benign incidents (e.g. a playground scrape). Severe sepsis strikes 18 million people every year, 750,000 being Americans and it have very high mortality rate that ranges from 28% to 50%. It is the leading cause of ICU deaths, accounting for 60-80% deaths in developing countries. It kills more than 6 million infants and young children worldwide every year. Diagnosis of sepsis is often delayed due to its difficulty to diagnose despite the rapid deterioration of the patient. To summarize, sepsis is an ubiquitous omnipotent killer that literally and figuratively can cost us an arm and a leg, and does not discriminate against sex, ethnicity, social status or age. How we did it: The project consisted of extending an existing back-end infrastructure to allow for scalable, encrypted and reliable storage of the patient data, building a Google Glass application that identifies patient IDs (QR code), projecting relevant data through an interactive GUI and implementing a communication protocol to allow encrypted data to be safely transmitted to and from the Google Glass and the back-end server. More info: