| ARCHETYPE ID | openEHR-EHR-CLUSTER.inspection_body_fluid.v0 |
|---|---|
| Concept | Inspection of a body fluid |
| Description | Findings observed during the macroscopic inspection of an extracellular body fluid. |
| Use | Use to record a narrative description, structured details and clinical interpretation about findings observed during the inspection (including odour) of a body fluid. This archetype has been specifically designed to be used as the framework for recording details about examination of any body fluid and the context of the anatomical site or source of the body fluid will be carried in the archetypes in which it is nested, including but not limited to:
In order to record examination findings for:
Body fluid is a liquid that originates from the human body, and this archetype is intended to support detailed description of:
Extracellular body fluid examples include, but are not limited to:
The CLUSTER.exclusion_exam archetype can be nested within the 'Examination not done' SLOT to optionally record explicit details about the examination not being performed. While this archetype will most likely be used in the context of a living subject, it is also appropriate to use in recording autopsy findings. Use to incorporate the narrative descriptions of clinical findings within existing or legacy clinical systems into an archetyped format, using the 'Clinical description' data element. |
| Misuse | Not to be used to record the inspection of urine - use the specialisation CLUSTER.inspection_body_fluid-urine for this purpose. Not to be used to record the inspection of sputum - use the specialisation CLUSTER.inspection_body_fluid-sputum for this purpose. Not to be used to record the inspection of blood or blood clots, but only to record the presence of blood or blood clots within other fluids. Not to be used for recording measurements of fluid volume - use OBSERVATION archetypes for this purpose. For example: OBSERVATION.fluid_output. Not to be used to record details about a non-physiological fluid. Not to be used for recording the clinical history - use specific OBSERVATION and CLUSTER archetypes. For example: OBSERVATION.story and CLUSTER.symptom_sign. Not to be used to record the results of a urinalysis test - use OBSERVATION.urinalysis for this purpose. Not to be used to record the other details about a specimen for use in laboratory testing - use CLUSTER.specimen. Note: despite this exclusion, it is reasonable to use this archetype within the CLUSTER.specimen to describe physical properties about a body fluid as noted above. Not to be used to record the details about examination of faeces - use the CLUSTER.examination_faeces. |
| Purpose | To record the findings observed during the macroscopic inspection (including odour) of a body fluid. |
| References | |
| Copyright | © openEHR Foundation |
| Authors | Author name: Heather Leslie Organisation: Atomica Informatics Email: heather.leslie@atomicainformatics.com Date originally authored: 2015-06-25 |
| Other Details Language | Author name: Heather Leslie Organisation: Atomica Informatics Email: heather.leslie@atomicainformatics.com Date originally authored: 2015-06-25 |
| Other Details (Language Independent) |
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| Keywords | biofluid, amniotic, cerebrospinal, fluid, discharge, urine, pus, saliva, sputum, synovial, sweat, vomit, gastric, diarrhoea, mucous, mucus, spinal, bile, breast, milk, gastric, acid, semen, secretion, ascites, serous, intraocular, diasylate, synovial, bodily, pericardial, pleural |
| Lifecycle | in_development |
| UID | 7ccea8db-8b05-4507-95bf-f019855f0ec8 |
| Language used | en |
| Citeable Identifier | 1246.145.2785 |
| Revision Number | 0.0.1-alpha |
| items | |
| Fluid name | Fluid name: The name of the body fluid being examined. Coding of the 'Fluid name' with a coding system is desirable, if available. |
| Description | Description: Narrative description about the fluid. |
| Colour | Colour: The colour of the body fluid. The intent of this data element is to record either a narrative description of the colour or to select one or more codes from a value set, appropriate to the body fluid, in a template. |
| Blood | Blood: The qualitative amount of blood observed in the body fluid.
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| Odour | Odour: The smell of the body fluid. The intent of this data element is to record either a narrative description of the odour, or to code with a value set where appropriate in a template. |
| Blood clots | Blood clots: Blood clots are observed within or associated with the body fluid.
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| Specific findings | Specific findings: Additional structured details about the body fluid. For example: inclusion of detailed CLUSTER archetypes to record details about specific fluids such as clear fluids; or inclusion of further CLUSTER.exam_body_fluid archetypes could describe components of substances such as required to describe a mixture of blood and meconium post childbirth. Include: openEHR-EHR-CLUSTER.physical_ |
| Multimedia representation | Multimedia representation: Digital image, video or diagram representing the inspection findings. Include: openEHR-EHR-CLUSTER.multimedia.v1 and specialisations |
| Clinical interpretation | Clinical interpretation: Single word, phrase or brief description that represents the clinical meaning and significance of the examination findings. |
| Comment | Comment: Additional narrative about the inspection findings, not captured in other fields. |
| Examination not done | Examination not done: Details to explicitly record that this examination was not performed. Include: openEHR-EHR-CLUSTER.exclusion_ |
| Other contributors | Morten Aas, Oslo Universitetssykehus, Norway Kerstin Adolfsson, Sweden Stine Nyheim Andreassen, DIPS ASA, Norway Vebjørn Arntzen, Oslo universitetssykehus HF, Norway (Nasjonal IKT redaktør) Koray Atalag, University of Auckland, New Zealand Silje Ljosland Bakke, Nasjonal IKT HF, Norway (Nasjonal IKT redaktør) Kristian Berg, Universitetssykehuset Nord Norge, Norway Lars Bitsch-Larsen, Haukeland University hospital, Norway Kate Bryan, Stalis Ltd, United Kingdom David Burns, East Kent Hospitals University Foundation NHS Trust, United Kingdom B Christensen, HUS, Norway Peter Coates, NHS England, United Kingdom Lisbeth Dahlhaug, Helse Midt - Norge IT, Norway Heather Grain, Llewelyn Grain Informatics, Australia Kristian Heldal, Telemark Hospital Trust, Norway Evelyn Hovenga, EJSH Consulting, Australia Tom Jarl Jakobsen, Helse Bergen, Norway Lars Karlsen, DIPS ASA, Norway Dave Kilroy, Application Insight Ltd, United Kingdom Shinji Kobayashi, Kyoto University, Japan Nils Kolstrup, Skansen Legekontor og Nasjonalt Senter for samhandling og telemedisin, Norway Sabine Leh, Haukeland University Hospital, Department of Pathology, Norway Heather Leslie, Atomica Informatics, Australia (openEHR Editor) Siv Marie Lien, DIPS ASA, Norway Kelvin Lok, Stalis Ltd, United Kingdom Ole Kristian Losvik, Losol AS, Norway Mark McEvoy, SITS International, Sweden Ian McNicoll, freshEHR Clinical Informatics, United Kingdom (openEHR Editor) Lars Ivar Mehlum, Helse Bergen HF, Norway Colin Newell, OpusVL, United Kingdom Andrej Orel, Marand d.o.o., Slovenia Rob Organ, Yeovil District Hospital NHS Foundation Trust, United Kingdom Petra Palm, Region Östergötland, Sweden Mike Pargeter, Across Health Ltd, United Kingdom Martin Paulson, Sykehuset i Vestfold, Norway Rune Pedersen, Universitetssykehuset i Nord Norge, Norway John Pyle, self, United Kingdom Navin Ramachandran, NHS, United Kingdom Cecilia Revelj, Landstinget i Kalmar län, Sweden Ingela Sammeli, Landstinget i Värmland, Sweden Elin Tell, Region Ostergotland, Sweden John Tore Valand, Helse Bergen, Norway (openEHR Editor) Lina Öfverström, Region Östergötland, Sweden |
| Translators |