ID

23580

Beschrijving

To be used for recording the actual measurement of body weight, including when the individual is missing a body part due to a congenital cause or after surgical removal. A statement identifying the physical incompleteness of the body can be recorded in the 'Confounding factors' data element, if required. This is the usual archetype to be used for a typical measurement of weight, for example self-measured by the individual at home, a clinician measurement in a clinic/hospital, or a fitness instructor in a gymnasium. Can also be used for recording an approximation of body weight measurement in a clinical scenario where it is not possible to measure accurately body weight - for example, weighing an uncooperative child, or estimating the weight of an unborn fetus (where the 'subject of data' is the Fetus and recording occurs within the mother's health record). This is not modelled explicitly in the archetype as the openEHR Reference model allows the attribute of Approximation for any Quantity data type. At implementation, for example, an application user interface could allow clinicians to select an appropriately labelled check box adjacent to the Weight data field to indicate that the recorded weight is an approximation, rather than actual. To be used for recording weight change, that is, either weight loss or weight gain. This can currently be modelled by constraining the 'any event' to an interval with associated mathematical function of increase or decrease, as appropriate.

Trefwoorden

  1. 09-07-17 09-07-17 - Martin Dugas
  2. 09-07-17 09-07-17 - Martin Dugas
Geüploaded op

9 juli 2017

DOI

Voor een aanvraag inloggen.

Licentie

Creative Commons BY-NC 3.0

Model Commentaren :

Hier kunt u commentaar leveren op het model. U kunt de tekstballonnen bij de itemgroepen en items gebruiken om er specifiek commentaar op te geven.

Itemgroep Commentaren voor :

Item Commentaren voor :

U moet ingelogd zijn om formulieren te downloaden. AUB inloggen of schrijf u gratis in.

Body Weight (EHR Archetype)

openEHR-EHR-OBSERVATION.body_weight.v1

  1. StudyEvent: openEHR-EHR-OBSERVATION.body_weight.v1
    1. openEHR-EHR-OBSERVATION.body_weight.v1
openEHR-EHR-OBSERVATION.body_weight.v1.xml
Beschrijving

openEHR-EHR-OBSERVATION.body_weight.v1.xml

وزن بدن
Beschrijving

اندازه گیری وزن بدن فرد

Datatype

text

Simple
Beschrijving

@ internal @

Datatype

text

history
Beschrijving

@ internal @

Datatype

text

هر رویداد
Beschrijving

هر رویداد

Datatype

text

وزن
Beschrijving

وزن فرد

Datatype

float

state structure
Beschrijving

@ internal @

Datatype

text

میزان لباس
Beschrijving

توصیف میزان لباس فرد در زمان اندازه گیری وزن

Datatype

text

protocol structure
Beschrijving

@ internal @

Datatype

text

تجهیز
Beschrijving

توصیف تجهیز استفاده شده برای اندازه گیری وزن

Datatype

text

نظر
Beschrijving

نظر در مورد اندازه گیری وزن

Datatype

text

فاکتورهای جانبی
Beschrijving

ثبت هر گونه مساله یا فاکتوری که ممکن است روی اندازه گیری وزن در زمان اندازه گیری تاثیر داشته باشه به عنوان مثال در زمان عادت ماهیانه ،دفع مدفوع، یا ثبت قطع عضو

Datatype

text

Similar models

openEHR-EHR-OBSERVATION.body_weight.v1

  1. StudyEvent: openEHR-EHR-OBSERVATION.body_weight.v1
    1. openEHR-EHR-OBSERVATION.body_weight.v1
Name
Type
Description | Question | Decode (Coded Value)
Datatype
Alias
Body weight
Item
وزن بدن
text
Simple
Item
Simple
text
history
Item
history
text
Any event
Item
هر رویداد
text
Weight
Item
وزن
float
state structure
Item
state structure
text
Item
میزان لباس
text
Code List
میزان لباس
CL Item
لباس سبک یا لباس زیر (1)
CL Item
لباس سبک یا لباس زیر (2)
CL Item
لخت (3)
CL Item
کاملا لباس پوشیده ، از جمله کفش (4)
CL Item
کهنه بچه یا پوشک (5)
protocol structure
Item
protocol structure
text
Device
Item
تجهیز
text
Comment
Item
نظر
text
Confounding Factors
Item
فاکتورهای جانبی
text

Gebruik dit formulier voor feedback, vragen en verbeteringsvoorstellen.

Velden gemarkeerd met een * zijn verplicht.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial