These are users of terminology who actually have to create structured data forms or otherwise construct reports or data collection objects that require codified or standardized structured terminology. Examples are form developers who understand about different types of questions which would have different types of structured classes of data.
These users and or implementers typically do not have any formal terminology training or experience. They are able to understand basic concepts around classes and data types of terminologies and appropriate code set maps. They are able to search a formal dictionary like maternal concept lab, open concept lab, SNOMED or LOINC and "map" a concept in their medical record to the terminology. This would include knowing when a data element required a map to a procedure and not mapping it to a term in a different domain (e.g., problem).
These managers are familiar with the concepts around a controlled medical terminology but don't have much experience actually curating or editorializing a dictionary for general distribution. They probably have a lot of experience managing their own dictionary and are fairly easily able to map local requirements for forms and reports to the dictionary and/or to standard terminologies like SNOMED and LOINC.
These managers have had several years of terminology management experience. They understand the differences between administrative, reference and interface terminologies. They are able to manage a controlled medical terminology with a proper editorial policy, unambiguous and non-redundant concepts/terms, etc. They usually work under the supervision of a TMS Level 5, but in smaller scale implementations might be primarily responsible for managing a dictionary shared with others.
These are the highest level of terminology managers. They are those with many years of terminology experience and who have either built or help manage source terminologies like LOINC, CIEL, SNOMED, etc. They are probably well aware of different use cases for terminology including data collection, aggregation (HIE) and reporting/analytics.