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Related Concept Videos

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

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Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare settings,...
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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,...
Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Data Reporting and Recording01:24

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Related Experiment Video

Updated: Jul 10, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Archetype-based semantic integration and standardization of clinical data.

David Moner1, Jose A Maldonado, Diego Bosca

  • 1Biomedical Informatics Group, Technical University, Valencia, Spain. damoca@upv.es

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|October 20, 2007
PubMed
Summary

The Dual Model architecture offers a solution for integrating heterogeneous Electronic Health Records (EHRs). This approach uses archetypes for semantic standardization, enabling better access to patient clinical information.

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Area of Science:

  • Health Informatics
  • Clinical Data Management
  • Information Systems in Healthcare

Background:

  • Accessing patient clinical information in a standardized format is crucial for healthcare professionals.
  • Electronic Health Records (EHRs) are often fragmented across incompatible systems, hindering data accessibility and interoperability.
  • Existing clinical data systems lack semantic consistency, posing challenges for data integration.

Purpose of the Study:

  • To explore the application of the Dual Model architecture for semantic integration and standardization of heterogeneous clinical data sources.
  • To introduce LinkEHR-Ed, a tool designed for developing archetypes to facilitate clinical data integration.
  • To support both health domain experts and IT experts in the archetype creation process.

Main Methods:

  • Utilizing the Dual Model architecture, which separates information (Reference Model) and knowledge (archetypes).
  • Employing archetypes as formal representations of clinical concepts built on a Reference Model.
  • Developing and presenting LinkEHR-Ed, a specialized tool for archetype creation.

Main Results:

  • Demonstrated the potential of the Dual Model approach for semantically integrating and standardizing diverse clinical data.
  • Showcased LinkEHR-Ed as a user-friendly tool for developing archetypes for integration purposes.
  • Facilitated the use of archetypes for adding semantic meaning to integrated data from non-normalized systems.

Conclusions:

  • The Dual Model architecture, combined with archetypes, provides an effective strategy for overcoming semantic barriers in clinical data integration.
  • LinkEHR-Ed simplifies the creation of archetypes, promoting collaboration between clinical and IT experts for enhanced EHR interoperability.
  • This approach enhances the standardization and semantic understanding of distributed clinical information, improving healthcare data management.