A better knowledge of patient flows would improve decision making in health planning. In this article, we propose a method to characterise patients flows and also to highlight profiles of care pathways considering times and costs. From medico-administrative data, we extracted spatio-temporal patterns. Then, we clustered time between hospitalisations and cost trajectories in order to identify profiles of change over time. This approach may support renewed management strategies.
Keywords: Healthcare Trajectories; Longitudinal Data; Myocardial Infarction; Patient Flows; Prospective Payment System; Spatio-temporal Pattern Mining.