Almost all citizens being acutely hospitalized at Odense University Hospital are triaged at the Joint Emergency Reception (FAM). Patients are classified in five categories - red, orange, yellow, green, and blue - depending on the severity of their condition. Patients in the red category are referred directly to the hospital's trauma room, while patients from the orange and yellow categories are referred directly for treatment and often connected to a patient monitor that continuously monitors the vital parameters of the patient. Patients from the green and blue categories are reassessed at a later point of time. The challenges of this method are situations when some patients, who were not initially assessed as high-risk patients, suddenly and unexpectedly get worse - sometimes with severe consequences.
The Vision
In the project, "Identification of high-risk patients", Patient@home highlights this challenge.
The vision of the project is to give healthcare professionals at Odense University Hospital new possibilities to identify FAM patients with deteriorating vital parameters suchas blood pressure, pulse, saturation (oxygen saturation), respiratory rate, GCS (Glaskow Coma Scale) and temperature. The goal is to develop novel technological models that are able to better predict and warn of potential life-threatening complications before they occur.
Analyses of data from patient monitors will help the project discover patterns and develop a new and better model for the identification of patients at risk. Subsequently, the model will be evaluated through tests of "live" data from patient monitors.
Professor - Research Manager in Patient@home
Email: LOADEMAIL[ukwiil]DOMAIN[mmmi.sdu.dk]
Web: http://www.sdu.dk/Om_SDU/Institutter_centre/Mmmi_maersk_mckinney_moeller
Email: LOADEMAIL[rasmus.hieronymus.mynster]DOMAIN[cgi.com]
Web: http://www.cgi.dk
Email: LOADEMAIL[annmarie.lassen]DOMAIN[ouh.regionsyddanmark.dk]
Web: http://www.ouh.dk/wm363508