video1.0<iframe src="https://www.loom.com/embed/0fd58458c1d849ef9415f3263d5ae8b1" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/0fd58458c1d849ef9415f3263d5ae8b1-13d803b79eb5b150.gif366.462In my capstone project, I investigated whether upstream primary care access can serve as an early indicator of downstream emergency health services demand in Nova Scotia. I built a data pipeline that combined public datasets on alternative primary care visits and EMS response activity, ultimately training a logistic regression model that achieved 61% accuracy in identifying high EMS demand months. While the model shows that increases in primary care access correlate with EMS demand, its predictive performance is limited due to the small dataset and other influencing factors. I created a Power BI visualization to illustrate these trends and support the concept of upstream signals. As a next step, I plan to conduct an exploratory analysis on emergency department wait times, and I welcome any insights or collaboration on this future work.