ArticleJournal of the American Medical Informatics Association : JAMIA2013
A semantic-web oriented representation of the clinical element model for secondary use of electronic health records data.
Article in Journal of the American Medical Informatics Association : JAMIA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues.International journal of clinical practice · 2022Pooled it
- HL7-FHIR-Based ContSys Formal Ontology for Enabling Continuity of Care Data Interoperability.Journal of personalized medicine · 2023Article
- Deep Phenotyping of Chinese Electronic Health Records by Recognizing Linguistic Patterns of Phenotypic Narratives With a Sequence Motif Discovery Tool: Algorithm Development and Validation.Journal of medical Internet research · 2022Article
- Knowledge Graph-Enabled Cancer Data Analytics.IEEE journal of biomedical and health informatics · 2020Article
- Advances in Electronic Phenotyping: From Rule-Based Definitions to Machine Learning Models.Annual review of biomedical data science · 2018Article
- An ontology-aware integration of clinical models, terminologies and guidelines: an exploratory study of the Scale for the Assessment and Rating of Ataxia (SARA).BMC medical informatics and decision making · 2017Article
- Towards achieving semantic interoperability of clinical study data with FHIR.Journal of biomedical semantics · 2017Article
- Design of an extensive information representation scheme for clinical narratives.Journal of biomedical semantics · 2017Article
- Issues Associated With the Use of Semantic Web Technology in Knowledge Acquisition for Clinical Decision Support Systems: Systematic Review of the Literature.JMIR medical informatics · 2017Article
- Article
- An information model for computable cancer phenotypes.BMC medical informatics and decision making · 2016Article
- Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record.Journal of medical systems · 2016Article
- Knowledge Author: facilitating user-driven, domain content development to support clinical information extraction.Journal of biomedical semantics · 2016Article
- Generation of open biomedical datasets through ontology-driven transformation and integration processes.Journal of biomedical semantics · 2016Article
- Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics.Journal of biomedical informatics · 2016Review
- Profiling Fast Healthcare Interoperability Resources (FHIR) of Family Health History based on the Clinical Element Models.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Using Semantic Web technologies for the generation of domain-specific templates to support clinical study metadata standards.Journal of biomedical semantics · 2016Article
- A platform for exploration into chaining of web services for clinical data transformation and reasoning.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Transformation of standardized clinical models based on OWL technologies: from CEM to OpenEHR archetypes.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Semantic enrichment of clinical models towards semantic interoperability. The heart failure summary use case.Journal of the American Medical Informatics Association : JAMIA · 2015Article
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Authors and funding
9 authors.
Funding
Abstract
The clinical element model (CEM) is an information model designed for representing clinical information in electronic health records (EHR) systems across organizations. The current representation of CEMs does not support formal semantic definitions and therefore it is not possible to perform reasoning and consistency checking on derived models. This paper introduces our efforts to represent the CEM specification using the Web Ontology Language (OWL). The CEM-OWL representation connects the CEM content with the Semantic Web environment, which provides authoring, reasoning, and querying tools. This work may also facilitate the harmonization of the CEMs with domain knowledge represented in terminology models as well as other clinical information models such as the openEHR archetype model. We have created the CEM-OWL meta ontology based on the CEM specification. A convertor has been implemented in Java to automatically translate detailed CEMs from XML to OWL. A panel evaluation has been conducted, and the results show that the OWL modeling can faithfully represent the CEM specification and represent patient data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.