Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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:
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...
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,...
Schemata01:17

Schemata

A schema is a mental construct that organizes related concepts, allowing the brain to process information efficiently. Upon activation, schemata facilitate assumptions about people or objects.
Two types of schemata are:
Impact of Schemas01:30

Impact of Schemas

Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is limited...

You might also read

Related Articles

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

Sort by
Same author

Anaesthetic management for pulmonary bilobectomy in a patient with previous contralateral lobectomy and total laryngectomy with tracheostomy.

Revista espanola de anestesiologia y reanimacion·2026
Same author

Videolaryngoscopy versus direct laryngoscopy for tracheal intubation by anesthesia residents in the operating room: The randomized multicenter VILARE trial protocol.

Revista espanola de anestesiologia y reanimacion·2026
Same author

Prospective Multicenter Observational Study of Patients in Shock Treated with Vasopressin: VASOPRES Registry Study Protocol.

Revista espanola de anestesiologia y reanimacion·2025
Same author

Ultra-fast single-crystal CVD diamonds in the particle time-of-flight (PTOF) detector for low yield burn-history measurements on the NIF (invited).

The Review of scientific instruments·2025
Same author

Barriers to early detection: Insurance denials for breast MRI screening in women with germline BRCA1/2 mutations.

Gynecologic oncology·2025
Same author

Impact of universal use of the McGrath videolaryngoscope as the first option for all intubations in the operating room: The multicentre prospective before-after VIDEOLAR-SURGERY study protocol.

Revista espanola de anestesiologia y reanimacion..·2024
Same journal

Evaluation of temporal preservation in synthetic longitudinal patient data.

Journal of biomedical informatics·2026
Same journal

ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

Journal of biomedical informatics·2026
Same journal

A validation-driven training controller for cross-lingual biomedical NER via reinforcement learning-based adaptive loss weighting.

Journal of biomedical informatics·2026
Same journal

ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction.

Journal of biomedical informatics·2026
Same journal

Beyond Accuracy: Safety-Centered guidelines for the evaluation of LLM-based therapy recommendation systems for chronic multimorbidity patients.

Journal of biomedical informatics·2026
Same journal

DeepEN: A deep reinforcement learning framework for personalized enteral nutrition in critical care.

Journal of biomedical informatics·2026
See all related articles

Related Experiment Video

Updated: May 14, 2026

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model
08:03

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Published on: November 4, 2025

SNOMED CT module-driven clinical archetype management.

J L Allones1, M Taboada, D Martinez

  • 1Department of Electronics and Computer Science, Campus Vida, University of Santiago de Compostela, 15782 Santiago de Compostela, La Coruña, Spain. joseluis.allones@usc.es

Journal of Biomedical Informatics
|February 14, 2013
PubMed
Summary
This summary is machine-generated.

Semantic search using SNOMED CT improves clinical archetype repository management and user navigation. This automated approach significantly enhances recall compared to traditional keyword-based systems.

More Related Videos

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Related Experiment Videos

Last Updated: May 14, 2026

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model
08:03

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Published on: November 4, 2025

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Area of Science:

  • Health Informatics
  • Medical Ontology
  • Information Retrieval

Background:

  • Clinical archetype repositories are crucial for healthcare data standardization.
  • Current keyword-based search systems face limitations in managing and navigating complex clinical data.
  • Improving search functionality is essential for efficient use of these repositories.

Purpose of the Study:

  • To investigate the application of semantic search for enhanced management and user navigation within clinical archetype repositories.
  • To develop and evaluate an automated method for semantic searching of clinical archetypes.

Main Methods:

  • An automated method was developed using SNOMED CT modularization to convert clinical archetypes into SNOMED CT extracts.
  • Query terms were mapped to SNOMED CT concepts using the Lucene search engine.
  • Retrieval was performed by matching query concepts with SNOMED CT segments.

Main Results:

  • The method achieved 97.4% precision and 69.1% recall on a test collection of 16 clinical archetypes.
  • Recall was substantially improved by over 70% compared to a keyword-based benchmark system.
  • The approach demonstrated significant performance enhancement in retrieving relevant clinical information.

Conclusions:

  • Leveraging medical domain knowledge from ontologies like SNOMED CT overcomes limitations of keyword-based systems.
  • An automated ontology segmentation approach is efficient and feasible for clinical archetype repository management and navigation.
  • Semantic search offers a superior search experience for users of clinical repositories.