  We study the estimation of the probability distribution of individual patient
waiting times in an emergency department (ED). Our feature-rich modelling
allows for dynamic updating and refinement of waiting time estimates as
patient- and ED-specific information (e.g., patient condition, ED congestion
levels) is revealed during the waiting process. Aspects relating to
communicating forecast uncertainty to patients, and implementing this
methodology in practice, are also discussed.
