ArticleStudies in health technology and informatics2019
Development and Validation of a Controlled Vocabulary: An OWL Representation of Organizational Structures of Trauma Centers and Trauma Systems.
Article in Studies in health technology and informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Generation of Interactive Knowledge Graphs to Enable Research of the Effects of Trauma Center Organization on Patient Outcomes.Knowledge graphs and semantic web : 7th international conference, KGSWC 2025, Leipzig, Germany, November 26-28, 2025 : proceedings. KGSWC (Conference) (7th : 2025 : Leipzig, Germany) · 2026Article
- Expanding the Ontology of Organizational Structures of Trauma Centers and Trauma Systems.CEUR workshop proceedings · 2024Article
- Assessing the Need for Semantic Data Integration for Surgical Biobanks-A Knowledge Representation Perspective.Journal of personalized medicine · 2022Article
- Evaluating and Extending the Informed Consent Ontology for Representing Permissions from the Clinical Domain.Applied ontology · 2022Article
- ACS COT participates in study to develop comparative data on trauma care organization.Bulletin of the American College of Surgeons · 2020Article
- Collecting data on organizational structures of trauma centers: the CAFE web service.Trauma surgery & acute care open · 2020Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
In trauma care and trauma care research there exists an implementation gap regarding a consistent controlled vocabulary to describe organizational aspects of trauma centers and trauma systems. This paper describes the development and evaluation of a controlled vocabulary for trauma care organizations. We give a detailed description of the involvement of domain experts in the domain analysis workflow and the authoring of definitions and additional term descriptions. Finally, the paper details the evaluation methodology to assess the initial version of the controlled vocabulary. The results of the evaluation show that our development process yields terms most of which find approval from domain experts not involved in the development. In addition, our evaluation tools resulted in valuable domain expert input to optimize the controlled vocabulary.
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Registered trials
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