AIMC Topic: Health Level Seven

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An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets.

Scientific data Feb 8, 2025
Although rare diseases (RDs) affect over 260 million individuals worldwide, low data quality and scarcity challenge effective care and research. This work aims to harmonise the Common Data Set by European Rare Disease Registry Infrastructure, Health ...
Humans Europe Rare Diseases Health Level Seven Registries Biological Ontologies
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Aggregating the syntactic and semantic similarity of healthcare data towards their transformation to HL7 FHIR through ontology matching.

International journal of medical informatics Oct 5, 2019
BACKGROUND AND OBJECTIVE: Healthcare systems deal with multiple challenges in releasing information from data silos, finding it almost impossible to be implemented, maintained and upgraded, with difficulties ranging in the technical, security and hum...
Health Level Seven Systems Integration Information Dissemination Semantics Biological Ontologies Vocabulary, Controlled Delivery of Health Care Electronic Health Records Algorithms Humans
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Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Manually annotated clinical corpora are commonly used as the gold standards for the training and evaluation of clinical natural language processing (NLP) tools. The creation of these manual annotation corpora, however, is both costly and time-consumi...
Electronic Health Records Humans Natural Language Processing Feasibility Studies Health Level Seven Health Information Interoperability
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Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries.

Journal of the American Medical Informatics Association : JAMIA Oct 20, 2014
BACKGROUND AND OBJECTIVE: Electronic medical records with encoded entries should enhance the semantic interoperability of document exchange. However, it remains a challenge to encode the narrative concept and to transform the coded concepts into a st...
Humans Health Level Seven Algorithms Automation Natural Language Processing Electronic Health Records Databases as Topic User-Computer Interface
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FHIR-Based Arden Syntax Compiler for Clinical Decision Support.

Studies in health technology and informatics Nov 22, 2024
The Arden Syntax is a language designed for the encoding of medical knowledge into clinical decision support systems. Its evolution is overseen by Health Level 7. A significant enhancement in its new version 3.0 is the incorporation of FHIR for data ...
Semantics Health Level Seven Decision Support Systems, Clinical Humans Programming Languages Natural Language Processing Electronic Health Records Information Storage and Retrieval
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AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report.

Studies in health technology and informatics Jun 6, 2022
A significant portion of data in Electronic Health Records is only available as unstructured text, such as surgical or finding reports, clinical notes and discharge summaries. To use this data for secondary purposes, natural language processing (NLP)...
Humans Language Natural Language Processing Delivery of Health Care Electronic Health Records Health Level Seven
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A sustainable HL7 FHIR based ontology for PHR data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
One of the most widely acknowledged standards in health informatics is HL7 (Health Level 7 International). HL7 FHIR® (Fast Healthcare Interoperability Resources) is a new HL7 standard for exchanging electronic health data. It builds upon previous HL7...
Health Records, Personal Delivery of Health Care Humans Biological Ontologies Health Level Seven Electronic Health Records
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Fuzzy-Arden-Syntax-based, Vendor-agnostic, Scalable Clinical Decision Support and Monitoring Platform.

Studies in health technology and informatics Jan 1, 2015
This study's objective is to develop and use a scalable genuine technology platform for clinical decision support based on Arden Syntax, which was extended by fuzzy set theory and fuzzy logic. Arden Syntax is a widely recognized formal language for r...
Health Level Seven Knowledge Bases Programming Languages Information Storage and Retrieval Semantics Decision Support Systems, Clinical Fuzzy Logic Natural Language Processing
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