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The primary usage scenario is when you have data elements like admission diagnosis coded in ICD-10 or lab results coded in LOINC. Without an underlying terminology, you would have a very large lists of i2b2 leafs each representing one code. That is hard to handle for the user because of the sheer size, but also because nobody knows what all the codes stand for. Selecting all neoplasms for an i2b2 query, for instance, would mean to search and select about 150 terms.

With the help of the ontology editing capabilities of the IMT, it's possible to replace this large list of codes with the convenient hierarchical structure of the terminology.

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This detailed example is part of Edit i2b2 Ontology >> Merging items with terminologies..