Healthcare organizations are under increasing pressure to improve productivity, gain competitive advantage and reduce costs. In many cases, despite management already gained some kind of qualitative intuition about inefficiencies and possible bottlenecks related to the enactment of patients’ careflows, it does not have the right tools to extract knowledge from available data and make decisions based on a quantitative analysis.
To tackle this issue, starting from a real case study conducted in San Carlo di Nancy hospital in Rome (Italy), this article presents the results of a process mining project in the healthcare domain.