Short List of Options

User selects from a small list of possible 

Figure 35 Data entry using a simple reference set

Longer Lists Require Effective Search Techniques

Figure 36 Data entry using a large Reference set requires use of search techniques.

See section 4 Optimizing searches, for further information about effective search techniques.

Association of a 

Gloss
t Concept

 with a Data Control Used for Entering a Numeric or Other Value

When a value is entered in this control it is labeled with the appropriate Concept Identifier and added to the record.

Figure 37 Data entry of numeric values

Association of a CONCEPT with Particular Options Presented by a Check Box, Option Button or Other Data Entry Control:

Figure 38 Data entry using radio buttons / check lists

When selections are made using this control the appropriate Concept identifier is added to the record.

Association of Concepts with a Particular Combination of Values or the Result of a Computation Involving Several Items of Previously Entered Data:

Figure 39 Two examples of how data entry of specific values can be foundation for automatic addition of appropriate SNOMED CT clinical findings.

When specific values are entered the appropriate (defined) Concept identifier is added to the record. The above examples show how specific numeric values can lead to specific clinical findings, based on pre-defined rules.

The example at the bottom of Figure 39, illustrate that the BMI can be automatically calculated by the entered values for body weight and height. Moreover, it is possible to develop rule-based coding (i.e. algorithms that assign BMI values between 20 and 24 to the SNOMED CT Concept 35425004 | normal body mass index |, or to a more specific Concept 412768003 | body mass index 20-24 - normal |.