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Related Concept Videos

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Standards of Care II

Nurses bear specific legal responsibilities under several federal statutes, including:
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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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Federal statutes profoundly impact nursing practice, providing critical guidelines to ensure patient care is equitable, accessible, and of the highest quality. The following laws address distinct aspects of healthcare provision and patient rights:
Units and Standards of Measurement01:10

Units and Standards of Measurement

A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
Measurements of physical quantities are...
Units and Standards of Measurement01:10

Units and Standards of Measurement

A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
Measurements of physical quantities are...

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A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
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Toward Interoperable Variable Definitions: A FHIR-Based Standardization Strategy for the METASTRA Project.

Serena Moscato1,2, Alberto Marfoglia3, Valerio Antonio Arcobelli1

  • 1Department of Electrical, Electronic, and Information Engineering - Guglielmo Marconi (DEI), University of Bologna, Bologna, Italy.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

Standardizing multicenter clinical data using Health Level Seven Fast Healthcare Interoperability Resources (HL7 FHIR) and SNOMED CT improves research quality. This approach successfully standardized 88% of variables, enhancing data reuse for personalized vertebral metastasis strategies.

Keywords:
FHIRInteroperabilitySNOMED-CT

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Published on: September 20, 2018

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

Published on: September 20, 2018

Area of Science:

  • Clinical Informatics
  • Health Data Standardization
  • Multicenter Study Data Integration

Background:

  • Multicenter clinical studies offer significant research potential but require data standardization for enhanced quality.
  • Semantic interoperability is crucial for maximizing the value of integrated clinical data.

Purpose of the Study:

  • To present a strategy for standardizing a retrospective multicenter dataset from the METASTRA project.
  • To demonstrate the feasibility and reliability of using HL7 FHIR and SNOMED CT for data standardization.

Main Methods:

  • Mapping variables to HL7 FHIR resources and fields.
  • Utilizing SNOMED CT terminology for semantic standardization.
  • Applying a modular transformation pipeline to convert raw data into FHIR resources.

Main Results:

  • Successfully standardized 88% (87/99) of a subset of variables.
  • Employed nine HL7 FHIR resources and 177 SNOMED CT concepts for standardization.
  • Confirmed data consistency between original and standardized datasets via validation queries.

Conclusions:

  • The proposed standardization approach is reliable and effective for multicenter datasets.
  • This methodology facilitates the creation of semantically coherent clinical knowledge bases.
  • Enhanced data reuse and evidence generation are key benefits for clinical studies.