| Abstract |
The purpose of this ingenious project is to utilize machine learning to aid in the long-term crisis of hospital wait times by targeting one aspect of the hospital process at a time (in this case, the triage assessment process in the ER). The innovative application is meant to work alongside real nurses by assessing less urgent patients using the Canadian Triage and Acuity Scale through a user-friendly self-check-in kiosk that utilizes both visual and numerical input data, allowing the wait times of severe and less severe patient cases to reduce by 36% and 10% respectively. In the grand sceheme of the ER experience, any reduction in wait times at each step of the process is vital. |
