The use case at EMC focuses on the acute ischemic brain infarction care pathway. Case prognosis significantly depends to prompt diagnosis and time to treatment, what is known as time-to-needle. The current care pathway contains numerous and critical dependencies that influence the actual time for the patient to get the right treatment. Emergency Triage, bed occupancy and level of the workload at the Stroke Unit are factors that definitely influence the time-to-needle. We hypothesize that by reducing the length of stay on the Stroke Unit, bed occupancy and staff workload will be also reduced producing a process improvement which will impact time-to-needle and eventually patient outcome.

Interactive Process Mining will be applied to produce an in-depth analysis of the current Stroke Care Path, aiming at identifying dependencies and consequences that are relevant for patient outcome and patients in general and specifically those which are relevant for the length of stay of the patient.