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Health Concept and Knowledge Management: Twenty-five Years of Evolution.

R Cornet¹, C G Chute²

¹Ronald Cornet, PhD, Visiting Associate Professor, Linköping University, Assistant Professor, Academisch Medisch Centrum, Medical Informatics, J1b-115, P.O. Box 22700, 1100 DE Amsterdam, The Netherlands,

Yearbook of Medical Informatics

|August 5, 2016

Summary

This summary is machine-generated.

Health terminology systems and information models have grown exponentially over 25 years, enabling big science in biomedicine. This evolution is crucial for scalable inference and discovery in health research.

Keywords:

Terminology classification information model ontology

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Area of Science:

Health informatics
Biomedical informatics
Health information management

Background:

The fields of health terminology, classification, ontology, and information models have undergone significant evolution.
Reviewing notable trends, emerging technologies, and major terminology systems over the past 25 years was the objective.

Observation:

The transformation in size, scope, complexity, and adoption of health terminological systems and information models has been tremendous.
This evolution has occurred on the scale of orders of magnitude.

Findings:

Health terminology systems and information models have grown exponentially in size, scope, and complexity.
Adoption of these systems has also seen a dramatic increase.

Implications:

The current era of big science in biomedicine, characterized by advanced inference and discovery, is critically dependent on this growth.
Scalability of biomedical research is directly linked to the maturation of health terminology and information models.