ISO/TS 21564:2019 Health Informatics —用語リソースマップの品質測定（MapQual） | ページ 6

3.1

auto-matching

computational mapping task, undertaken using an algorithm based upon the relationship between concepts (3.5)

3.2

categorial structure

reduced system of concepts to describe the organization of the semantic categories in a particular system of concepts

Note 1 to entry: A categorial structure for body structure representation could include the categories for body system (e.g. skin, digestive) and anatomical location (upper body, abdomen).

3.3

classification

exhaustive set of mutually exclusive categories to aggregate data at a pre-prescribed level of specialization for a specific purpose

3.4

code system

organized, managed collection of codes each of which has associated designations, meanings and in some cases relationships, properties or rules

Note 1 to entry: Code systems are often described as collections of uniquely identifiable concepts such as ICD-10, SNOMED CT and LOINC. Code systems are often established and maintained by authoritative sources such as standards development organisations.

3.5

concept

unit of knowledge created by a unique combination of characteristics

Note 1 to entry: Concepts are not necessarily bound to particular languages. They are, however, influenced by the social or cultural background, often leading to different categorizations.

3.6

context

related conditions and situations that provide a useful understanding and meaning of a subject

3.7

currency of the map

map currency

difference between the date of release of the target and source terminological resources and the map set (3.16)

3.8

determinant

influencing element or factor

3.9

equivalence

semantic equivalence

condition of being equal or the same in value, worth or function

Note 1 to entry: In terminological systems, two concepts are (semantically) equivalent if their domain of meaning overlaps and their semantic definitions are interpreted as identical. In the context of terminological resources equivalence and semantic equivalence are often considered as synonyms.

3.10

individual map

index from one term to another, sometimes using rules that allow translation from one representation to another indicating degree of equivalence

Note 1 to entry: Entry in a map which indicates how to translate from an individual source concept to a target concept. The term map is often used to indicate a table of individual map entries. It is for this reason that the individual and map tables are being differentiated. A map is often computable. A map is the outcome of the mapping process. The use of this term is often used in ways which are confusing. It is essential to always make it clear whether one is referring to an individual map, or a map table (or set). In SNOMED CT, each individual map is represented as a row or group of rows in a map reference set. It links a single map source concept code (e.g. SNOMED CT Concept ID) to one or more codes in a map target (e.g. ICD Code).

3.11

priority map content

individual maps (3.10) in a map set (3.16) which are most important for a use case

Note 1 to entry: Importance might reflect the frequency of use or impact of the specific concepts being mapped. For example: a propriety map content set might be established to represent the most common diagnoses in hospitals for morbidity reporting and this could be the priority map content for a map from SNOMED CT to ICD based classification.

3.12

map

conversion

transformation

cross-map

device which provides an index from one term (3.19) to another, sometimes using rules that allow translation from one representation to another indicating degree of equivalence (3.9)

Note 1 to entry: The index is used to convert concepts in one code system or representation into concepts in an alternative code system or representation.

3.13

map quality determinant

attribute of a map (3.12) , map development process, or map metadata that is considered a reliable measure of the suitability of the map to a use case

3.14

map quality measure

quantitative measure of the characteristics and attributes of a map (3.12)

3.15

map source

source mapping

terminology (3.21) , coding scheme or classification (3.3) used as the starting point for map production

3.16

map set

map table

group of individual maps (3.10) used to convert a range of entries from source to target code system (3.4)

3.17

mapping

process of defining, building or using a relationship between concepts (3.5) in one coding system to concepts in another coding system in accordance with a documented rationale, for a given purpose

Note 1 to entry: Quality mapping will produce a usable map table, be a reproducible and understandable process. It is the relation with the best semantic correspondence between an element in one set and an element in another set.

3.18

semantic domain

semantic space

area of meaning covered by a terminological resource (3.20)

Note 1 to entry: This is used to evaluate the lexical or formal overlap between such resources. In value set specification this might also be called a value set domain.

Note 2 to entry: Terminology resources can include value sets, code systems, and subsets.

3.19

term

linguistic representation of a concept (3.5)

Note 1 to entry: A term can contain symbols and have variants, e.g. different forms of spelling terms are members of a terminology; a defined or limited vocabulary of terms or concepts, for example, ICD, SNOMED CT, LOINC.

3.20

terminological resource

controlled set of terms in healthcare

Note 1 to entry: These terms are usually designed and controlled for use with computers for specific healthcare purpose, such as data entry, aggregation, retrieval and analysis.

3.21

terminology

structured, human and machine-readable representation of concepts (3.5)

Note 1 to entry: This includes the relationship of the terminology to the specifications for organizing, communicating and interpreting such a set of concepts. The use of the term terminology in healthcare implies a terminology that is designed for use in computer systems. The word 'vocabulary' or 'health' or 'medical language' is used to indicate the broader idea of linguistic representation without the specification of computability.