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This worked example will demonstrate using screen shots from the Medical Objects Explorer software. It will show some GELLO that looks for archetyped clinical patient data of height , weight, waist circumference and Blood pressure, such as might be obtained when a patient presents to a medical clinic. The code will takes this data, and also look for recent blood tests results and run its logic as to whether certain conditions are present such as being overweight or having abnormal metabolic profiles. We will use BMI and Triglyceride/HDL ratio. The result of the GELLO is another observation that presents in the UI as System Generated information, below the displayed Observation that has triggered the Comment GELLO.

The context is:

Context HL7_v2_VMR_V1::IncomingObservation

Metadata is a tuple  we create as a local variable and is customisable. MO Explorer knows to look for this when the GELLO is uploaded to the server it uses and stores the Comment GELLO for clinical use.

Here's some metadata:

Let metadata = Tuple {
                       title = 'calculate metabolic comments on admission vitals',
                       keywords = Sequence{'BMI','Weight', 'Metabolic'},
                       version = 1,
                       revision = 16,
                       date = '20180227',
                       author = 'Medical-Objects',
                       identifier = 'COMMENT_GELLO:CALCULATE_Metabolic_Comments',
                       purpose = 'For metabolic calculation after basic admission and registration vitals taken by nursing staff',
                       includesList = Sequence{'29463-7^^LN','8302-2^^LN','8280-0^^LN', '8480-6^^LN', '8480-6^^LN'},
                       excludesList = Sequence{}
                              }

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