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Related Concept Videos

Anatomical Terminology01:20

Anatomical Terminology

Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Integrated Healthcare System01:20

Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...

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Related Experiment Video

Updated: Jun 28, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Using SNOMED CT to represent two interface terminologies.

S Trent Rosenbloom1, Steven H Brown, David Froehling

  • 1Department of Biomedical Informatics, Vanderbilt University, Nashville-TN, USA. trent.rosenbloom@vanderbilt.edu

Journal of the American Medical Informatics Association : JAMIA
|October 28, 2008
PubMed
Summary
This summary is machine-generated.

SNOMED CT effectively represents most terms from MEDCIN and CHISL interface terminologies. However, enhancing SNOMED CT semantics is needed for complex clinical concepts.

Related Experiment Videos

Last Updated: Jun 28, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Area of Science:

  • Medical Informatics
  • Health Information Management
  • Clinical Terminology Standards

Background:

  • Interface terminologies facilitate human interaction with structured medical data.
  • Mapping interface terminologies to reference terminologies like SNOMED CT is recommended for standardization.
  • Evaluating SNOMED CT's representational capacity for interface terminologies is crucial.

Purpose of the Study:

  • To assess the mapping and representation capabilities of SNOMED CT for the MEDCIN and CHISL interface terminologies.
  • To evaluate the coverage of clinical terms and their semantic structures within SNOMED CT.

Main Methods:

  • Automated mapping of 500 terms from MEDCIN and CHISL to SNOMED CT.
  • Human review of mappings for clinical appropriateness and SNOMED CT concept coverage.
  • Assessment of SNOMED CT's ability to represent the semantic structures of interface terms.

Main Results:

  • SNOMED CT covered 92.4% of MEDCIN terms and 95.9% of CHISL terms.
  • Complex semantic structures in interface terms were not fully represented by SNOMED CT.
  • MEDCIN terms were more complex than CHISL terms, averaging 3.8 vs. 1.8 atomic concepts.

Conclusions:

  • SNOMED CT provides a standardized representation for information from MEDCIN and CHISL.
  • Enriching SNOMED CT's semantic capabilities would improve the representation of external terminology concepts.
  • Further development of SNOMED CT is suggested for comprehensive clinical data representation.