Another issue is that a timestamp may not be correct based on the chosen level of granularity. Currently, some research has been performed (also in a healthcare context) on the identification of abnormal cases and infrequent execution patterns by means of outlien detection techniques [4, 7]. Future research is needed in order to identify suspicious patterns regarding the recording of times- tamps of events, not only within the same case but also among multiple cases.