Pinaire Jessica, Azé Jérôme, Bringay Sandra, Poncelet Pascal, Genolini Christophe, Landais Paul
UPRES EA2415, Montpellier University, France.
LIRMM, UMR 5506, Montpellier University, Montpellier, France.
Stud Health Technol Inform. 2018;247:391-395.
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.