In order to reduce undesirable variation in care, care is provided in a protocolized way. These protocols and guidelines can be implemented through hospital-specific clinical pathways and form a primary source of clinical processes for specific diseases and conditions, both in acute and chronic care. The wish to further optimize various outcomes drives the request for means to analyze clinical processes using computational models. The goal of this special session is to outline advances in automated analysis of processes in a clinical context, ranging from specific clinical domains to public health and from technical advances in process mining to applications on retrospectively or prospectively acquired health data.