ARCHETYPE ID | openEHR-EHR-OBSERVATION.pulse.v2 |
Concept | Pulse/Heart beat |
Description | The rate and associated attributes for a pulse or heart beat. |
Use | Use to record the presence or absence of a pulse or heart beat. In practice, the terms 'heart rate' and 'pulse rate' are often used interchangeably, although they may be measured at different body sites. This archetype is intended to be used for either term and the measurement site element is used to differentiate them. Use to record the measurement of the pulse rate, or heart rate, observations about the associated pattern and character, and clinical interpretation of the findings. Measurements such as the maximum pulse or heart rate over an interval of time can be recorded using 'Maximum' event. Others point-in-time or interval events may be specified within a template or at run-time. In development of this archetype, there has been some tension around representation of the regularity of the pulse or heart beat. This archetype represents the relevant data points separately: firstly establishing 'Regular' vs 'Irregular' and then, if 'Irregular', further options of 'Regularly irregular' and 'Irregularly irregular'. In practice, clinical systems could offer users a combination of the values from the 'Regularity' and 'Irregular type' - for example, 'Regular', 'Regularly irregular' and 'Irregularly irregular' drawn from these two data elements. Data could be recorded against both data elements with the assumption that if one of the irregular types are selected, then the 'Irregular' value in the 'Regularity' data element is also automatically selected. In certain situations it is important to be very specific so that a rate observed at a peripheral body site, such as the radial artery, can be differentiated from the rate of the heart. To record a pulse deficit, record the measurements of the mechanical heart rate and a peripheral pulse rate in two instances of this archetype - the difference between these measurments is the pulse deficit. The actual pulse deficit will be recorded in a separate OBSERVATION archetype. |
Misuse | Not to be used to record the R-R rate in the context of an Electrocardiograph report - use the OBSERVATION.ecg archetype for this purpose. Not to be used to record other details of the full cardiovascular examination or assessment. Other specific CLUSTER archetypes will be used to record characteristics such as apex beat, murmurs and bruits, or auscultatory findings. In particular, this archetype is not intended to record the assessment of peripheral vascular disease, which requires documentation of the presence and strength of each peripheral pulse. A specific CLUSTER archetype will be used to record the general findings on examination of peripheral pulses. Not to be used to record fetal heart rate - use the OBSERVATION.fetal_heart archetype for this purpose. Not to be used to record the pulse deficit - use a specific OBSERVATION archetype for this purpose. Concepts such as Target Heart Rate should be recorded in separate EVALUATION archetypes related to goals and exercise assessment. |
Purpose | To record details about the rate and associated attributes for a pulse or heart beat. |
References | Direct communication with clinicians. |
Copyright | © openEHR Foundation |
Authors | Author name: Sam Heard Organisation: Ocean Informatics Email: sam.heard@oceaninformatics.com Date originally authored: 2006-03-26 |
Other Details Language | Author name: Sam Heard Organisation: Ocean Informatics Email: sam.heard@oceaninformatics.com Date originally authored: 2006-03-26 |
OtherDetails Language Independent | {licence=This work is licensed under the Creative Commons Attribution-ShareAlike 3.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/3.0/., custodian_organisation=openEHR Foundation, references=Direct communication with clinicians., current_contact=Heather Leslie, Ocean Informatics, heather.leslie@oceaninformatics.com, original_namespace=org.openehr, original_publisher=openEHR Foundation, custodian_namespace=org.openehr, MD5-CAM-1.0.1=FA62ACCECB4A643E142B1092B1128204, build_uid=64b97a61-b8f8-489d-9bd6-8ca03147e9be, revision=2.0.5} |
Keywords | rate, rhythm, beat, pulse, heart, vital, sign |
Lifecycle | published |
UID | 566c355d-9e8f-473d-a80d-90fcd8d61414 |
Language used | en |
Citeable Identifier | 1013.1.4295 |
Revision Number | 2.0.5 |
All | Archetype [runtimeNameConstraintForConceptName=null, archetypeConceptBinding=null, archetypeConceptDescription=The rate and associated attributes for a pulse or heart beat., archetypeConceptComment=null, otherContributors=Morten Aas, Diakonhjemmet Sykehus, Norway Tomas Alme, Norway Magnus Alvestad, Helse Bergen HF, Norway Nadim Anani, Karolinska Institutet, Sweden Anne Pauline Anderssen, Helse Nord RHF, Norway Vebjørn Arntzen, Oslo universitetssykehus HF, Norway (Nasjonal IKT redaktør) Koray Atalag, University of Auckland, New Zealand Gustavo Bacelar-Silva, Healthcare Designs, Brazil (openEHR Editor) Silje Ljosland Bakke, Nasjonal IKT HF, Norway (Nasjonal IKT redaktør) Lars Bitsch-Larsen, Haukeland University Hospital, Bergen, Norway Diego Bosca, IBIME group, Spain Pål Brekke, OUS Rikshospitalet, Norway Einar Bugge, UNN HF, Fag- og forskningssenteret, Norway Rong Chen, Cambio Healthcare Systems, Sweden Stephen Chu, Queensland Health, Australia Lisbeth Dahlhaug, Helse Midt - Norge IT, Norway Angela de Zwart, Orion Health, New Zealand Graham Denyer, Australian Antarctic Division, Australia Paul Donaldson, Nursing Informatics Australia, Australia Shahla Foozonkhah, Ocean Informatics, Australia Einar Fosse, UNN HF, Norwegian Centre for Integrated Care and Telemedicine, Norway Sebastian Garde, Ocean Informatics, Germany John George, HSCIC, United Kingdom Soon Ghee Yap, Singapore General Hospital, Singapore Heather Grain, Llewelyn Grain Informatics, Australia Mikkel Gaup Grønmo, FSE, Helse Nord, Norway (Nasjonal IKT redaktør) Bjørn Grøva, Diretoratet for e-helse, Norway Atle Hansen, Universitetssykehuset Nord-Norge, Norway 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 Evelyn Hovenga, EJSH Consulting, Australia Eugene Igras, IRIS Systems, Inc., Canada Tom Jarl Jakobsen, Helse Bergen, Norway Lars Karlsen, DIPS ASA, Norway Athanasios Kleontas, Ergobyte Informatics, Greece Shinji Kobayashi, Kyoto University, Japan Robert Legan, NEHTA, Australia Heather Leslie, Ocean Informatics, Australia (openEHR Editor) Hallvard Lærum, Direktoratet for e-helse, Norway Rohan Martin, Ambulance Victoria, Australia Ian McNicoll, freshEHR Clinical Informatics, United Kingdom (openEHR Editor) Lars Ivar Mehlum, Nasjonal IKT HF, Norway Jeroen Meintjens, Medisch Centrum Alkmaar, Netherlands Monica Merchat, Hospital Cardiac Electrophysiology, MS Health Informatics Student, former ICU nurse, former Anesthesia Technician, United States Bjoern Naess, DIPS ASA, Norway Andrej Orel, Marand d.o.o., Slovenia Arturo Romero, SESCAM, Spain Jussara Rotzsch, UNB, Brazil Thomas Schopf, University Hospital of North-Norway, Norway Nils Thomas Songstad, UNN HF, BUK, Barneavdelingen., Norway Thor-Einar Stemland, Helse Bergen, FOU Seksjon for e-helse, Norway Arne Løberg Sæter, DIPS ASA, Norway Jan Inge Sørheim, Helse Bergen, Haukeland uniersitetssjukehus, Norway Micaela Thierley, Helse Bergen/Haraldsplass sykehus, Norway Kevin Thon, SKDE, Norway John Tore Valand, Haukeland Universitetssjukehus, Norway (Nasjonal IKT redaktør), originalLanguage=en, translators=
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