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Health informatics. Conceptual framework for patient findings and problems in terminologies. | Status: Confirmed, Current
description
1 Scope
1.1 Main purpose
The purpose of this Technical Specification is to specify a categorial structure, within the subject field of patient findings and problems, by defining a set of common domain constraints for use within terminological systems including a classification, coding scheme, coding system, reference terminology and clinical terminology. Clinical findings are concepts that are recorded in clinical records and can describe any state observed directly or indirectly concerning a patient and their relationship with the environment. This Technical Specification is focused on a sub-population of these findings concerning in vivo descriptions of state (structure and function) directly related to the patient. This class of concepts includes:- — diseases, which may be defined as a state caused by a known or assumed pathological process impairing the normal physiological function and/or anatomical structure affecting all or part of a patient, where a specific pathological change is caused by a defined mechanism;
- — findings of state or function (including normal findings) observed directly relating to a patient.
- — support developers of new terminology systems concerning patient findings and problems;
- — support developers of new detailed content areas of existing terminology systems concerning patient findings and problems to ensure conformance;
- — facilitate the representation of patient findings and problems using a standard core model in a manner suitable for computer processing;
- — provide a conceptual framework for the generation of compositional concept representation of patient findings and problems;
- — facilitate the mapping and improved semantic correspondence between different terminologies by proposing a core specification for patient findings and problems;
- — provide a core model to describe the structure of patient findings and problems, and facilitate improved semantic correspondence with information models.
Details
Publisher
BS
File size
1.26 MB
Pages
22
Format
PDF
Publication date
2010-09-30
ISBN-13
978-0-580-56726-1
ISBN-13 plain
9780580567261
ISBN-10
0580567261