OpenEHR Apperta Mirror
Name
proms event details
Description
proms event details
Purpose
Use
Archetype Id
openEHR-EHR-CLUSTER.proms_event_details.v0
Copyright
© Apperta Foundation
Licencing
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/.
Original Author
Ian McNicoll
freshEHR Clinical Informatics Ltd.
freshEHR Clinical Informatics Ltd.
Date Originally Authored
2021-07-15
Name | Card | Type | Description |
---|---|---|---|
Proms required
|
0..* | DV_TEXT |
|
Event name
|
0..1 | DV_TEXT |
|
Proms ID
|
0..1 | DV_TEXT |
|
archetype (adl_version=1.4; uid=82266356-2f47-4725-8789-21caea6b1245) openEHR-EHR-CLUSTER.proms_event_details.v0 concept [at0000] -- proms event details language original_language = <[ISO_639-1::en]> description original_author = < ["name"] = <"Ian McNicoll"> ["organisation"] = <"freshEHR Clinical Informatics Ltd."> ["email"] = <"ian@freshehr.com"> ["date"] = <"2021-07-15"> > details = < ["en"] = < language = <[ISO_639-1::en]> purpose = <""> use = <""> misuse = <""> copyright = <"© Apperta Foundation"> > > lifecycle_state = <"in_development"> other_contributors = <> other_details = < ["licence"] = <"This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/."> ["custodian_organisation"] = <"Apperta UK"> ["original_namespace"] = <"uk.org.clinicalmodels"> ["original_publisher"] = <"Apperta UK"> ["custodian_namespace"] = <"uk.org.clinicalmodels"> ["MD5-CAM-1.0.1"] = <"25D97A863E9F5DF717127F41EF5AB98F"> ["build_uid"] = <"e90e95f2-815d-4450-9680-0cb2c7cbf019"> ["revision"] = <"0.0.1-alpha"> > definition CLUSTER[at0000] matches { -- proms event details items cardinality matches {1..*; unordered} matches { ELEMENT[at0001] occurrences matches {0..*} matches { -- Proms required value matches { DV_TEXT matches {*} } } ELEMENT[at0003] occurrences matches {0..1} matches { -- Event name value matches { DV_TEXT matches {*} } } ELEMENT[at0002] occurrences matches {0..1} matches { -- Proms ID value matches { DV_TEXT matches {*} } } } } ontology term_definitions = < ["en"] = < items = < ["at0000"] = < text = <"proms event details"> description = <"proms event details"> > ["at0001"] = < text = <"Proms required"> description = <""> > ["at0002"] = < text = <"Proms ID"> description = <""> > ["at0003"] = < text = <"Event name"> description = <""> > > > >