Fig. 8: Conformance checking to identify deviations in patient journeys.

This figure demonstrates the use of conformance checking to identify deviations in patient journeys from the overall sample. The conformance checking process compares individual patient data to the expected model, identifying consistent behaviors (green), deviations (red), movements (yellow), missing data (grey), and unutilized data (black). This analysis helps to highlight differences in patient behavior, uncovering potential issues such as incorrect treatments or external factors that may influence treatment outcomes. By identifying these patterns, healthcare providers can adjust treatment plans and offer more personalized interventions.