ARCHETYPE Respiration (openEHR-EHR-OBSERVATION.respiration.v2)

ARCHETYPE IDopenEHR-EHR-OBSERVATION.respiration.v2
ConceptRespiration
DescriptionThe characteristics of spontaneous breathing by an individual.
UseUse to record the observed and measured characteristics of spontaneous breathing by an individual, including respiratory rate, depth and rhythm. Respirations are commonly recorded as one component of vital signs.
MisuseNot to be used to record the physical examination of the respiratory system - use the physical examination family of archetypes for this purpose, such as CLUSTER.exam-chest or CLUSTER.exam-lung. Not to be used to record other measurements related to breathing - use specific archetypes for the purpose, for example OBSERVATION.pulse_oximetry. Not to be used to record functional assessments of breathing - use specific archetypes for the purpose, for example OBSERVATION.pulmonary_function. Not to be used for recording details about individuals who are undergoing assisted ventilation.
PurposeTo record the characteristics of spontaneous breathing by an individual.
ReferencesBraun SR. Respiratory Rate and Pattern. In: Walker HK, Hall WD, Hurst JW, editors. Clinical Methods: The History, Physical, and Laboratory Examinations. 3rd edition. Boston: Butterworths; 1990, Chapter 43 [cited 2019 Sep 26]. Available from: https://www.ncbi.nlm.nih.gov/books/NBK365/.
Copyright© openEHR Foundation
AuthorsAuthor name: Ian McNicoll
Organisation: freshEHR Clinical Informatics, United Kingdom
Email: ian.mcnicoll@freshEHR.com
Date originally authored: 2009-07-17
Other Details LanguageAuthor name: Ian McNicoll
Organisation: freshEHR Clinical Informatics, United Kingdom
Email: ian.mcnicoll@freshEHR.com
Date originally authored: 2009-07-17
Other Details (Language Independent)
  • Licence: This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/.
  • Custodian Organisation: openEHR Foundation
  • References: Braun SR. Respiratory Rate and Pattern. In: Walker HK, Hall WD, Hurst JW, editors. Clinical Methods: The History, Physical, and Laboratory Examinations. 3rd edition. Boston: Butterworths; 1990, Chapter 43 [cited 2019 Sep 26]. Available from: https://www.ncbi.nlm.nih.gov/books/NBK365/.
  • Original Namespace: org.openehr
  • Original Publisher: openEHR Foundation
  • Custodian Namespace: org.openehr
  • MD5-CAM-1.0.1: 6AAD7971D019B8919076056B53BC1C92
  • Build Uid: 82e0f8bb-8492-41bc-a9fb-be5c405c9f86
  • Revision: 2.0.0-alpha
Keywordsrespirations, breathing, breath, resps, respiration
Lifecyclein_development
UID8dbdb062-2fac-48ce-aa8f-c58686ea1c23
Language useden
Citeable Identifier1013.1.2080
Revision Number2.0.0-alpha
state
Body positionBody position: The body position of the individual during the observation.
  • Standing/upright [The individual was standing, walking or running.]
  • Sitting [The individual was sitting (for example, on a bed or chair).]
  • Reclining [The individual was reclining at an approximate angle of 45 degrees, with the legs elevated to the level of the pelvis.]
  • Lying [The individual was lying on their back.]
  • Prone [The individual was lying on their front.]
Confounding factorsConfounding factors: Identification of any issues or incidental factors that may impact on interpretation of the observation.
For example: level of anxiety, pain, feeding in infants, tracheostomy.
Inspired oxygenInspired oxygen: Details of the amount of oxygen being delivered to the individual at the time of observation.
Assumed values of 21% oxygen concentration, Fi02 of 0.21 and oxygen flow rate of 0 l/min or 0 ml/min.
Include:
openEHR-EHR-CLUSTER.inspired_oxygen.v1 and specialisations
ExertionExertion: Details about physical exertion being undertaken during the examination.
The individual's level of exertion during, or just prior to, the observation.
Include:
openEHR-EHR-CLUSTER.level_of_exertion.v0 and specialisations or
openEHR-EHR-CLUSTER.level_of_exertion.v1 and specialisations
events
Any eventAny event: Default, unspecified point in time or interval event which may be explicitly defined in a template or at run-time.
protocol
ExtensionExtension: Additional information required to capture local context or to align with other reference models/formalisms.
For example: local information requirements or additional metadata to align with FHIR.
Include:
All not explicitly excluded archetypes
data
PresencePresence: Observation of spontaneous respiration.
This data element may be useful in extreme situations where a formal measurement of respiration rate is not possible. For example: a subject is unconscious and distant to the observer, such as trapped in a car or has fallen down a cliff. Presence of respiration can be implied if the 'Rate' >0 breaths/min.
  • Present [Respiratory movements are observed.]
  • Not detected [Respiratory movements are not detected on observation.]
RateRate: The frequency of spontaneous breathing.
Units: 0.0..200.0 /min
Limit decimal places: 0
RegularityRegularity: The regularity of spontaneous breathing.
  • Regular [The breathing pattern is regular.]
  • Irregular [The breathing pattern is not regular.]
DepthDepth: The depth of spontaneous breathing.
  • Normal [Normal depth of breathing.]
  • Shallow [Shallow depth of breathing.]
  • Deep [Deep breathing.]
  • Variable [Variable depth of breathing.]
Clinical descriptionClinical description: A narrative description about the spontaneous breathing of the individual.
For example: noting respiratory distress, use of accessory muscles or intermittent apnoea; noting characteristics such as stridor, sighing, grunting, groaning, gasping. Conducting a full respiratory examination, then some of these findings might be more appropriately recorded as part of examination findings.
Clinical interpretationClinical interpretation: Single word, phrase or brief description which represents the clinical meaning and significance of the respiration findings.
Coding with a terminology is preferred, where possible. For example: Normal breathing; Evidence of respiratory distress; Kussmaul's respiration; Cheyne-Stokes respiration; or Apnoeic episodes. Multiple statements are allowed.
CommentComment: Additional narrative about the respirations, not captured in other fields.
Other contributorsKarin Aarsheim, Helse Førde, Norway
Morten Aas, Diakonhjemmet Sykehus, Norway
Tomas Alme, Norway
Anne Pauline Anderssen, Helse Nord RHF, Norway
Vebjørn Arntzen, Oslo universitetssykehus HF, Norway (Nasjonal IKT redaktør)
Silje Ljosland Bakke, Nasjonal IKT HF, Norway (Nasjonal IKT redaktør)
Lars Bitsch-Larsen, Haukeland University Hospital, Bergen, Norway
Fredrik Borchsenius, Oslo universitetssykehus, Norway
Pål Brekke, OUS Rikshospitalet, Norway
Marja Buur, Medisch Centrum Alkmaar/ Code24, Netherlands
Gregory Caulton, PatientOS Inc., United States
Stephen Chu, NeHTA, Australia
Einar Fosse, UNN HF, Norwegian Centre for Integrated Care and Telemedicine, Norway
Sebastian Garde, Ocean Informatics, Germany
Soon Ghee Yap, Singapore Health Services Pte Ltd, Singapore
Mikkel Gaup Grønmo, FSE, Helse Nord, Norway (Nasjonal IKT redaktør)
Atle Hansen, Universitetssykehuset Nord-Norge, Norway
Anne Harbison, CPCER, Australia
Sam Heard, Ocean Informatics, Australia
Kristian Heldal, Telemark Hospital Trust, Norway
Andreas Hering, Helse Bergen HF, Haukeland universitetssjukehus, Norway
Erling Are Hole, Helse Bergen, Norway
Omer Hotomaroglu, Turkey
Sundaresan Jagannathan, Scottish NHS, United Kingdom
Tom Jarl Jakobsen, Helse Bergen, Norway
Andrew James, University of Toronto, Canada
Heather Leslie, Atomica Informatics, Australia (Editor)
Rikard Lovstrom, Swedish Medical Association, Sweden
Hallvard Lærum, Direktoratet for e-helse, Norway
Hildegard McNicoll, freshEHR Clinical Informatics Ltd., UK
Ian McNicoll, freshEHR Clinical Informatics, United Kingdom (Editor)
Jeroen Meintjens, Medisch Centrum Alkmaar, Netherlands
Thomas Schopf, University Hospital of North-Norway, Norway
Nils Thomas Songstad, UNN HF, BUK, Barneavdelingen., Norway
Arne Løberg Sæter, DIPS ASA, Norway
Micaela Thierley, Helse Bergen/Haraldsplass sykehus, Norway
Kevin Thon, SKDE, Norway
John Tore Valand, Haukeland Universitetssjukehus, Norway (Nasjonal IKT redaktør)
Thomas Wilson, Finnmarkssykehuset HF Klinikk Hammerfest, Norway
Translators
  • German: Jasmin Buck, Sebastian Garde, University of Heidelberg, Central Queensland University
  • Swedish: Kirsi Poikela, Tieto Sweden Healthcare & Welfare AB, ext.kirsi.poikela@tieto.com
  • Finnish: Vesa Peltola, Tieto Finland, vesa.peltola@tieto.com
  • Spanish (Argentina): Dr. Leonardo Der Jachadurian, Bitios.com, Medical Doctor (Internal Medicine Specialist)
  • Norwegian Bokmal: Lars Bitsch-Larsen / Vebjørn Arntzen, Haukeland University Hospital, Bergen, Norway / Oslo universitetssykehus, Norway, varntzen@ous-hf.no
  • Portuguese (Brazil): Ana Paula de Andrade, Core Consulting, ana.andrade@coreconsulting.com.br
  • Arabic (Syria): ?
  • Persian, Farsi: Shahla Foozonkhah, Ocean Informatics
  • Dutch: Marja Buur, Medisch Centrum Alkmaar, m.buur-krom@mca.nl