Table 2.

Association between different pseudonymisation algorithms and descriptors of the clusters of cancer patients’ care pathways. We highlight in bold Police the descriptors that are impacted by the pseudonymisation algorithms vs. the absence of it

Pseudonymisation scheme (Shift parameter)	Number of patients in the cluster	Median time interval between stays (days)	Median stay duration (days)	Median number of stays	Median follow-up time (days)	Median age at admission
Absence (0 day)	562	74	6.0	1	27	68.6
	511	68	5.5	1	19	60.4
	498	80	6.3	1	32	76.7
	427	55	8.0	1	26	86.1
Base (1000 days)	562	74	6.0	1	27	68.6
	511	68	5.5	1	19	60.4
	498	80	6.3	1	32	76.7
	427	55	8.0	1	26	86.1
Birth (1000 days)	783	69	6.0	1	22	61.4
	588	199	6.0	1	28	72.5
	409	129	8.0	1	32	82.8
	218	103	7.0	1	21	90.0
Hospital Stay (1000 days)	799	282	5.5	1	22	61.2
	448	308	6.7	2	90	71.7
	391	392	8.0	1	53	86.2
	360	237	6.5	1	63	78.9