BodyMassIndex

The body mass index (BMI) is a metric to evaluate a person’s weight in relation to its height.

Description

Bodymassindex (BMI) is defined as the individual´s body weight divided by the square of their height. The BMI is a simple method to assess if a person has under-, normal or overweight.

BMI is used in common:
– in cardiovascular risc scores
– diagnosis of weight problems
– trend evaluation: e.g. treatment of weight problems

Use

– Use BodyMassIndex as object for the result of a calculation. Use for values calculated by applications.
– Use to record the Body Mass Index of both adults and children.
– Trend evaluation, judgment of child development, state of weight management
– Current or past measurements
– Use to enter the Body Mass Index either manually (i.e. calculated and directly entered by the clinician), or automatically (i.e. calculation and entry is done automatically by a software application, based on separate height and weight measurements).

Not use

– Do not use for body parts.
– Do not use for reference
– Not intended to record information regarding Body Mass Index percentiles – these will be recorded in separate archetypes.

Data Model

The Body Weight is a measurement object without any specific attributes. See Measurement for more information.

Rules

– Quetelet-Kaup-metric system
– Quetelet-Kaup-imperial units

Parameter Codes

For weight a lot of LOINC codes are available in the patient system. All other systems are not recorded in the weight object (e.g. fetus). Following LOINC codes are recommended to use to specify the parameter code

loinc_num component system property time_aspct scale_typ method_typ
39156-5 Body mass index  ^Patient  Ratio  Pt  Qn

Enums

See Measurement Enums for more information.

Catalogs

See Measurement Catalogs for more information.

Update Rhythm

The body mass index object can be updated up to several times a month.

Schema

See Measurement Schema for further information.

Compatible Standards

The body mass index object is compatible to EHR and TenScan Biometric data.