ISO/TS 29585:2010 健康情報学—臨床データウェアハウスの展開 | ページ 6

3.1

clinical data repository

CDR

operational data store that holds and manages clinical data collected from service encounters at point of service locations

Note 1 to entry: Data from a CDR can be fed to the EHR for that client, such that the CDR is recognised as a source system for the EHR. The CDR can be used to trigger alerts in real time.

3.2

clinical data warehouse

CDW

grouping of data accessible by a single data management system, possibly of diverse sources, pertaining to a health system or sub-system and enabling secondary data analysis for questions relevant to understanding the functioning of that health system, and hence supporting proper maintenance and improvement of that health system

Note 1 to entry: A CDW tends not to be used in real time. However, depending on the rapidity of transfer of data to the data warehouse, and data integrity, near real-time applications are not excluded.

3.3

dashboard

user interface based on predetermined reports, indicators and data fields, upon which the end user can apply filters and graphical display methods to answer predetermined business questions and which is suited to regular use with minimal training

3.4

data dictionary

database used for data that refer to the use and structure of other data, i.e. a database for the storage of metadata

3.5

data mart

subject area of interest within the data warehouse (3.6)

Note 1 to entry: Data marts can also exist as a standalone database tuned for query and analysis, independent of a data warehouse.

3.6

data warehouse

subject-oriented, integrated, time-variant and non-volatile collection of data

3.7

data warehouse dimension

subject-oriented, often hierarchical business relevant grouping of data

3.8

drill down

exploration of multidimensional data which makes it possible to move down from one level of detail to the next depending on the granularity of data

3.9

episode of care

identifiable grouping of healthcare-related activities characterized by the entity relationship between the subject of care and a healthcare provider, such grouping determined by the healthcare provider

[SOURCE: ISO/TS 18308:2004, definition 3.23]

3.10

health indicator

single summary measure, most often expressed in quantitative terms, that represents a key dimension of health status, the healthcare system, or related factors

Note 1 to entry: A health indicator is informative and also sensitive to variations over time and across jurisdictions.

[SOURCE: ISO/TS 21667:2004, definition 3.1]

3.11

metadata

information stored in the data dictionary which describes the content of a document

Note 1 to entry: In a data warehouse context, metadata are data structure, constraints, types, formats, authorizations, privileges, relationships, distinct values, value frequencies, keywords, interpretative notes and users of the database sources loaded in the data warehouse and the data warehouse itself. Metadata help users, developers and administrators manage and interpret information.

3.12

master data management

enablement of a program that provides for an organization's data definitions, source locations, ownership and maintenance rules

3.13

online analytical processing

OLAP

set of applications developed for facilitating the collection, analysis and reporting of multidimensional data

3.14

organization

group of people who have their own structure rules and culture in order to work together to achieve goals and/or to provide services through processes, equipment and technology, etc.

3.15

performance indicator

measure that supports evaluation of an aspect of performance and its change over time

3.16

persistent data

data in a final form intended as a permanent record, such that any subsequent modification is recorded together with the original data

3.17

roll up

method of regrouping and aggregating multidimensional data to move up the hierarchy into larger units

3.18

secondary data use

expression sometimes employed to describe the use of data for additional purposes other than the primary reason for their collection, adding value to these data

3.19

star schema

dimensional modelling concept that refers to a collection of fact and dimension tables

3.20

widget

standalone visualization component (e.g. a heat map, gauge or geographic map) that can be integrated with a data warehouse source and presented in an end-user dashboard

Note 1 to entry: Custom widgets can be developed using a business intelligence vendor software development kit (SDK) and managed via the widget library.