Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Methods of Documentation VII: EMR

Methods of Documentation VII: EMR

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,...

Nursing Clinical Information System

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:

Documentation in Long-Term and Home Healthcare Setting

Documentation in Long-Term and Home Healthcare Setting

Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities

Integrated Healthcare System

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,...

Standards of Care II

Standards of Care II

Nurses bear specific legal responsibilities under several federal statutes, including:

ER Retrieval Pathway

ER Retrieval Pathway

In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
The ER uses many checkpoints to prevent the entry of incorrectly folded or a resident protein as cargo onto a transport vesicle. These mechanisms...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

High performance deep-learning model for the diagnosis of auto-immune hepatitis based on histological whole slide images.

Virchows Archiv : an international journal of pathology·2026

Same author

Development and Validation of a Multi-Modal Algorithm for Chronic Kidney Disease Detection in a Hospital Clinical Data Warehouse.

Studies in health technology and informatics·2026

Same author

OPTIMA-DAW: Improving Cerebral Vasospasm Detection After Aneurysmal Subarachnoid Haemorrhage Using Machine Learning.

Studies in health technology and informatics·2026

Same author

Qualifying Missingness in Real-World Clinical Data for Secondary Use.

Studies in health technology and informatics·2026

Same author

Implementing a Semi-Automated Method for Surgical Site Infections Monitoring in a Limited Setting: The SPICMI Method in Martinique University Hospital.

Studies in health technology and informatics·2026

Same author

Combining Anti-Hallucination Strategies for Reliable LLM-Based Clinical Information Extraction.

Studies in health technology and informatics·2026

Search research articles

Related Experiment Video

Updated: May 29, 2026

Strategy for Biobanking of Ovarian Cancer Organoids: Addressing the Interpatient Heterogeneity across Histological Subtypes and Disease Stages

Strategy for Biobanking of Ovarian Cancer Organoids: Addressing the Interpatient Heterogeneity across Histological Subtypes and Disease Stages

Published on: February 23, 2024

Automatic definition of the oncologic EHR data elements from NCIT in OWL.

Marc Cuggia¹, Annabel Bourdé, Bruno Turlin

¹UMR 936 Inserm, Faculté de Médicine de Rennes, France.

Studies in Health Technology and Informatics

|September 7, 2011

Summary

This study presents a method to extract relevant concepts from ontologies for oncology electronic health records (EHRs). The approach aids in structuring clinical data and reusing ontology information effectively.

More Related Videos

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

Related Experiment Videos

Last Updated: May 29, 2026

Strategy for Biobanking of Ovarian Cancer Organoids: Addressing the Interpatient Heterogeneity across Histological Subtypes and Disease Stages

Strategy for Biobanking of Ovarian Cancer Organoids: Addressing the Interpatient Heterogeneity across Histological Subtypes and Disease Stages

Published on: February 23, 2024

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

Area of Science:

Medical Informatics
Ontology Engineering
Clinical Data Management

Background:

Semantic interoperability is crucial for automated information processing in healthcare systems.
Ontology re-use and subset construction are key for structuring clinical data entries.
Developing domain-specific concept sets facilitates the definition of oncology electronic health record (EHR) data elements.

Purpose of the Study:

To present a method for extracting a specific set of concepts from ontologies for a particular domain.
To aid in defining data elements for oncology EHRs through ontology subsetting.

Main Methods:

A generic extraction algorithm was developed to extract concepts from the National Cancer Institute Thesaurus (NCIT).
The algorithm targeted concepts related to prostate neoplasms, creating a sub-ontology.
Extracted concepts were compared against manually encoded concepts in a multi-disciplinary meeting report form (MDMRF).

Main Results:

Two sub-ontologies were generated: one using a single key concept and another using five additional keywords.
Sub-ontology 2 achieved 51% coverage of MDMRF concepts.
Lower coverage was attributed to NCIT concept definition issues or misclassifications.

Conclusions:

The developed extraction method assists in optimizing data element binding for EHRs.
This approach supports the maintenance and enrichment of domain-specific ontologies.
Ontology subsetting provides focused concept sets for specific domains, improving data structure.