ISO/TS 21667:2004
Withdrawn
A Withdrawn Standard is one, which is removed from sale, and its unique number can no longer be used. The Standard can be withdrawn and not replaced, or it can be withdrawn and replaced by a Standard with a different number.
View Superseded by
Health informatics Health indicators conceptual framework
Hardcopy , PDF , PDF 3 Users , PDF 5 Users , PDF 9 Users
20-03-2019
English
01-04-2004
ISO/TS 21667:2004 establishes a common health indicators conceptual framework for the field of health informatics. It is intended to foster a common vocabulary and conceptual definitions for a framework which defines the appropriate dimensions and subdimensions required to describe the health of the population and performance of a health care system, which is sufficiently broad (high-level) to accommodate a variety of health care systems, and which is comprehensive, encapsulating all of the factors that are related to health outcomes and health system performance and utilization, and regional and national variations. ISO/TS 21667:2004 does not identify or describe individual indicators or specific data elements for the health indicators conceptual framework. The definition of benchmarks and/or approaches used in the definition of benchmarks is outside its scope.
DevelopmentNote |
DRAFT ISO/DIS 21667 is also available for this standard. (09/2009)
|
DocumentType |
Technical Specification
|
Pages |
20
|
PublisherName |
International Organization for Standardization
|
Status |
Withdrawn
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SupersededBy |
Standards | Relationship |
CSA ISO TS 21667 : 2006 | Identical |
DD ISO/TS 21667:2004 | Identical |
NEN NPR ISO/TS 21667 : 2004 | Identical |
GOST R ISO/TS 21667 : 2009 | Identical |
DD ISO/TS 29585:2010 | Health informatics. Deployment of a clinical data warehouse |
ISO/TR 22221:2006 | Health informatics - Good principles and practices for a clinical data warehouse |
ISO/TS 29585:2010 | Health informatics — Deployment of a clinical data warehouse |
PD ISO/TR 22221:2006 | Health informatics. Good principles and practices for a clinical data warehouse |
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