Derived attributes are user-defined fields developed for a particular project. They can help provide faster and more comprehensive analysis of a large volume of cases, and easily identify critical values or conditions.
There are several different kinds of derived attributes which are created based on primary attributes – raw data sent from the Online Information System.
Types of derived attributes include:
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Numeric ranges | refers to a primary attribute and indicates which samples lie in a numerical range |
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Lists | refer to a primary attribute and indicate which samples match any of a list of names |
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Double lists | refer to two primary attributes, and match samples from one list depending on the value in the other list |
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Deltas | refer to a primary attribute and use a table to flag cases for which there has been a significantly abnormal result, or a significant change in values |
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Calculated values | are derived from combinations of primary attributes using the condition functions |
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Text Attributes | are used for simple matching of text samples against lists of known keywords |
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Merged Attributes | combine two or more attributes received from the Online Information System, possibly using different units, into a single attribute |
| [In menu] | Group Attributes | refer to a collection of related primary attributes |
| [In menu] | Set Attributes | also refer to a collection of related primary attributes, but where membership in the set is determined by conditions |
| [In menu] | Episode Attributes | are used to make complex true or false assertions about individual episodes in a case and may involve multiple primary attributes |