Development and evaluation of a de-identification procedure for a case register sourced from mental health electronic records

Table 4 Heuristics to identify names, with entirely fictitious examples, as they would appear in the source record and CRIS output

	Algorithm to identify names
	<beginning > <name term > <optional_name_delimiters > <optional_s > <end >
Source record	<beginning>	< name term>	< optional_name_delimiters>	< optional_s>	<end>	CRIS de-identified output
…replaced. Mark will also be able…	.(space)	Mark	None	None	(space)	…replaced. ZZZZZ will also be able…
…knowing Mark’s diagnosis…	(space)	Mark	‘	S	(space)	…knowing ZZZZZ diagnosis…
…7)Mark is compliant…	)	Mark	None	None	(space)	…7)ZZZZZ is compliant…
…OMark is compliant…	No beginning identified	None	None	None	None	…OMark is compliant…
…was awarded 9 mark out of 30 in…	(space)	mark	None	None	(space)	…was awarded 9 ZZZZZ out of 30 in…
…Nurse informed Mark. Earlier…	(space)	Mark	None	None	.	…Nurse informed ZZZZZ. Earlier…
…Marik will be attending…	(space)	None identified due to misspelling	None	None	None	…Marik will be attending…
…O’Mark is at the…	O’	Mark	None	None	(space)	…ZZZZZ is at the…
…his father, John, was also present…	, (space)	John	,	None	(space)	…his father, QQQQQ, was also present…

ISSN: 1472-6947