Automatic Population-Based Responsibility Modeling Using Process Mining: Application to Chronic Obstructive Pulmonary Disease

Population-based responsibility pursues three objectives: better health and better care at a better cost. The project aims to apply this paradigm using a process mining approach to build the clinical pathway of the population suffering certain disease to finally test if the process model well represents its clinical pathway. We asses our approach on a cohort of patients affected with Chronic Obstructive Pulmonary Disease. We use a national medico-administrative database of hospitalizations to extract our population, we stratify the disease and apply process mining. We propose different models with different rules to extract event logs and a design of experiments to compare the models using quantitative indicators: fitness, precision, generalization, simplicity and replicability through simulation. We also propose a qualitative evaluation of the best models following medical expert opinion. Our approach confirms that the models well represent the medical records and the simulation partially replicates them.