We added them to a child growth archetypes in the work for Marand. I think they just need to be hardwired into specific archetypes areas required.
items cardinality matches {1..*; unordered} matches { ELEMENT[at0010] occurrences matches {0..1} matches { -- Percentile value matches { DV_PROPORTION matches { numerator matches {|0.0..100.0|} type matches {2} } } } ELEMENT[at0011] occurrences matches {0..1} matches { -- Z-score (SDS) value matches { C_DV_QUANTITY < property = <[openehr::380]> list = < ["1"] = < units = <""> precision = <|2|> > > > } } ELEMENT[at0018] occurrences matches {0..1} matches { -- Method value matches { DV_TEXT matches {*} } Ian Dr Ian McNicoll mobile +44 (0)775 209 7859 office +44 (0)1536 414994 skype: ianmcnicoll email: i...@freshehr.com twitter: @ianmcnicoll Co-Chair, openEHR Foundation ian.mcnic...@openehr.org Director, freshEHR Clinical Informatics Ltd. Director, HANDIHealth CIC Hon. Senior Research Associate, CHIME, UCL On 21 March 2017 at 07:21, Bakke, Silje Ljosland < silje.ljosland.ba...@nasjonalikt.no> wrote: > Hi everyone, > > > > We’ve got an archetype proposal for Z scores (https://en.wikipedia.org/ > wiki/Standard_score). > > > > The way we understand these, they’re statistical calculations for specific > values such as height or weight, based on a population average, similar to > percentiles. We’re not sure how to model this in archetypes, and were > wondering if anyone else have solved this already? We’ve got an archetype > that’s related to child growth charts that will solve the problem for now, > but we’re looking for a more generic solution. > > > > One of our hypotheses is that Z scores and percentiles should be handled > using some sort of RM “Statistical value” element. Could someone from the > specs program comment on this? > > > > Kind regards, > *Silje Ljosland Bakke* > > > > Information Architect, RN > > Coordinator, National Editorial Board for Archetypes > National ICT Norway > > Tel. +47 40203298 <+47%20402%2003%20298> > > Web: http://arketyper.no / Twitter: @arketyper_no > <https://twitter.com/arketyper_no> > > > > _______________________________________________ > openEHR-clinical mailing list > openEHR-clinical@lists.openehr.org > http://lists.openehr.org/mailman/listinfo/openehr- > clinical_lists.openehr.org >
_______________________________________________ openEHR-clinical mailing list openEHR-clinical@lists.openehr.org http://lists.openehr.org/mailman/listinfo/openehr-clinical_lists.openehr.org