With increasing economic constraints and the scarcity of human resources in the territories, care pathways’ coordination is becoming increasingly complicated, with a risk of the “loss of chance” for patients. This study proposes a discrete-event simulation (DES) model to evaluate the allocation of care resources (hospital and non-hospital) at regional level, in order to ensure the organization of a care pathway, whatever the patient's clinical or environmental conditions. To this end, the study is based on the treatment of patients undergoing hip or knee replacement surgery. The model aims to identify existing regional disparities and improve care coordination during the post-operative phase. By integrating key performance indicators such as waiting times, resource utilization rates and associated costs, the DES model supports evidence-based recommendations for optimizing resource allocation at discharge. This tool serves as a decision-support system to assess the impact of alternative care strategies, address issues related to inequalities in access to healthcare and improve clinical outcomes during the recovery phase.