I developed an operations analytics solution to optimize patient flow in a busy emergency department facing unpredictable demand and staffing inefficiencies. By leveraging two years of historical admission data, I built a predictive model to forecast patient surges and integrated the insights into an interactive Tableau dashboard for real-time decision-making. This enabled shift supervisors to proactively adjust staffing and resource allocation, resulting in a 31% reduction in average wait times over six months and significantly improving patient experience and departmental efficiency.
This solution enhanced responsiveness to fluctuating patient volumes. It also empowered staff with data-driven tools for smarter operational planning.
Efficiency in emergency care isn’t just speed—it’s the ability to anticipate and act before delays happen.






