Diagnostic imaging: Observation
Generated by the Ocean HTML generator: 25/05/2006 Comments to Ocean Informatics Copyright openEHR Foundation © 2006

Concept

Archetype Id

Structure
Findings associated with diagnostic imaging Id: openEHR-EHR-OBSERVATION.imaging.v1
Reference model: EHR
ADL

History


Protocol

Data

State
Data: TREE

Concept

Description

Type

Cardinality

Values
Clinical Description of the clinical findingsText
optional
0..1		 Free or coded text
Imaging details, *.       Cluster (0..1) optional
 

Concept

Description

Type

Cardinality

Values
Test name Textural description of the testText
optional
0..1		 Free or coded text
Category The category of imagingCoded text
mandatory
1..1		 Xray
Ultrasound
Nuclear medicine
CT-Scan
MRI
Anatomical site The anatomical site to be imagedText
optional
0..1		 Free or coded text
View, Details about a particular view.       Cluster (0..*) optional, repeating
 

Concept

Description

Type

Cardinality

Values
View description A description of the view takenText
optional
0..1		 Free or coded text
Findings Findings related to the specific viewText
optional
0..1		 Free or coded text
Image The image of the viewMultiMedia
optional
0..1		 image/cgm
image/gif
image/png
image/tiff
image/jpeg

Concept

Description

Type

Cardinality

Values
Overall findings Summary findingsText
optional
0..1		 Free or coded text
Quality, Information about the quality of the imaging.       Cluster (0..1) optional
 

Concept

Description

Type

Cardinality

Values
Imaging note Information on the quality of the imaging that may influence reportingText
optional
0..1		 Free or coded text

Events: HISTORY

Events

Description

Constraints

Values
Any event *PointInTime
0..*		  
Protocol: TREE
Identification, *.       Cluster (0..1) optional
 

Concept

Description

Type

Cardinality

Values
Request identification Identifier used on the requestText
optional
0..1		 Free or coded text
Study identifier The identifier of the study which may be the DICOM accession numberText
optional
0..1		 Free or coded text

Supported by the General Practice Computing Group of Australia through funding from the Commonwealth Department of Health and Ageing