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https://www.readbyqxmd.com/read/28508777/how-to-link-snomed-ct-procedure-and-who-international-classification-of-health-interventions-ichi
#1
Jean Marie Rodrigues, Sukil Kim, Béatrice Trombert Paviot, Jae Jin Lee, Syed Aljunid
Among different used healthcare terminology resources there is a need to link them to ease their interoperability. SNOMED CT is the most detailed clinical reference terminology for procedure used in the Electronic Health Record (EHR). WHO developed since 2006 an aggregated classification named ICHI required for statistics and resource allocation. It is based on an ontology framework defined in ISO 1828 named Categorial Structure (CAST) for surgical procedures. We present ICHI coding structure, ISO 1828 CAST standard for surgical procedures and SNOMED CT procedures hierarchy concept model and their relations...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28506225/healthrecsys-a-semantic-content-based-recommender-system-to-complement-health-videos
#2
Carlos Luis Sanchez Bocanegra, Jose Luis Sevillano Ramos, Carlos Rizo, Anton Civit, Luis Fernandez-Luque
BACKGROUND: The Internet, and its popularity, continues to grow at an unprecedented pace. Watching videos online is very popular; it is estimated that 500 h of video are uploaded onto YouTube, a video-sharing service, every minute and that, by 2019, video formats will comprise more than 80% of Internet traffic. Health-related videos are very popular on YouTube, but their quality is always a matter of concern. One approach to enhancing the quality of online videos is to provide additional educational health content, such as websites, to support health consumers...
May 15, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28464923/enriching-the-international-clinical-nomenclature-with-chinese-daily-used-synonyms-and-concept-recognition-in-physician-notes
#3
Rui Zhang, Jialin Liu, Yong Huang, Miye Wang, Qingke Shi, Jun Chen, Zhi Zeng
BACKGROUND: It has been shown that the entities in everyday clinical text are often expressed in a way that varies from how they are expressed in the nomenclature. Owing to lots of synonyms, abbreviations, medical jargons or even misspellings in the daily used physician notes in clinical information system (CIS), the terminology without enough synonyms may not be adequately suitable for the task of Chinese clinical term recognition. METHODS: This paper demonstrates a validated system to retrieve the Chinese term of clinical finding (CTCF) from CIS and map them to the corresponding concepts of international clinical nomenclature, such as SNOMED CT...
May 2, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28451691/tool-supported-interactive-correction-and-semantic-annotation-of-narrative-clinical-reports
#4
Karel Zvára, Marie Tomečková, Jan Peleška, Vojtěch Svátek, Jana Zvárová
OBJECTIVES: Our main objective is to design a method of, and supporting software for, interactive correction and semantic annotation of narrative clinical reports, which would allow for their easier and less erroneous processing outside their original context: first, by physicians unfamiliar with the original language (and possibly also the source specialty), and second, by tools requiring structured information, such as decision-support systems. Our additional goal is to gain insights into the process of narrative report creation, including the errors and ambiguities arising therein, and also into the process of report annotation by clinical terms...
April 28, 2017: Methods of Information in Medicine
https://www.readbyqxmd.com/read/28423835/snomed-ct-as-reference-terminology-in-the-danish-national-home-care-documentation-standard
#5
Kirstine Rosenbeck Gøeg, Pia Britt Elberg, Anne Randorff Højen, Ulla Lund Eskildsen
In Danish home care, multiple professions deliver services to citizens. FSIII is a national home care documentation standard, where one of the goals is to share documentation to improve coordination between these professional groups and avoid double documentation. The aim of this study was to develop a SNOMED-CT based navigation hierarchy to ensure that professions could preserve their documentation practice, to help avoid double documentation, and to ensure that the technical implementation did not require sophisticated semantic tools...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28423832/building-snomed-ct-post-coordinated-expressions-from-annotation-groups
#6
Jose Antonio Miñarro-Giménez, Catalina Martínez-Costa, Pablo López-García, Stefan Schulz
SNOMED CT supports post-coordination, a technique to combine clinical concepts to ontologically define more complex concepts. This technique follows the validity restrictions defined in the SNOMED CT Concept Model. Pre-coordinated expressions are compositional expressions already in SNOMED CT, whereas post-coordinated expressions extend its content. In this project we aim to evaluate the suitability of existing pre-coordinated expressions to provide the patterns for composing typical clinical information based on a defined list of sets of interrelated SNOMED CT concepts...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28423796/personalized-guideline-based-treatment-recommendations-using-natural-language-processing-techniques
#7
Matthias Becker, Britta Böckmann
Clinical guidelines and clinical pathways are accepted and proven instruments for quality assurance and process optimization. Today, electronic representation of clinical guidelines exists as unstructured text, but is not well-integrated with patient-specific information from electronic health records. Consequently, generic content of the clinical guidelines is accessible, but it is not possible to visualize the position of the patient on the clinical pathway, decision support cannot be provided by personalized guidelines for the next treatment step...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28423790/improving-terminology-mapping-in-clinical-text-with-context-sensitive-spelling-correction
#8
Juliusz Dziadek, Aron Henriksson, Martin Duneld
The mapping of unstructured clinical text to an ontology facilitates meaningful secondary use of health records but is non-trivial due to lexical variation and the abundance of misspellings in hurriedly produced notes. Here, we apply several spelling correction methods to Swedish medical text and evaluate their impact on SNOMED CT mapping; first in a controlled evaluation using medical literature text with induced errors, followed by a partial evaluation on clinical notes. It is shown that the best-performing method is context-sensitive, taking into account trigram frequencies and utilizing a corpus-based dictionary...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28423768/evaluation-of-the-terminology-coverage-in-the-french-corpus-lissa
#9
Chloé Cabot, Lina F Soualmia, Julien Grosjean, Nicolas Griffon, Stéfan J Darmoni
Extracting concepts from medical texts is a key to support many advanced applications in medical information retrieval. Entity recognition in French texts is moreover challenged by the availability of many resources originally developed for English texts. This paper proposes an evaluation of the terminology coverage in a corpus of 50,000 French articles extracted from the bibliographic database LiSSa. This corpus was automatically indexed with 32 health terminologies, published in French or translated. Then, the terminologies providing the best coverage of these documents were determined...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28383102/risk-stratification-in-cervical-cancer-screening-by-complete-screening-history-applying-bioinformatics-to-a-general-screening-population
#10
Nicholas Baltzer, Karin Sundström, Jan F Nygård, Joakim Dillner, Jan Komorowski
Women screened for cervical cancer in Sweden are currently treated under a one-size-fits-all programme, which has been successful in reducing the incidence of cervical cancer but does not use all of the participants' available medical information. This study aimed to use women's complete cervical screening histories to identify diagnostic patterns that may indicate an increased risk of developing cervical cancer. A nationwide case-control study was performed where cervical cancer screening data from 125,476 women with a maximum follow-up of 10 years were evaluated for patterns of SNOMED diagnoses...
April 6, 2017: International Journal of Cancer. Journal International du Cancer
https://www.readbyqxmd.com/read/28361156/mapping-acute-coronary-syndrome-registries-to-snomed-ct-a-comparative-study-between-malaysia-and-sweden
#11
Ismat Mohd Sulaiman, Daniel Karlsson, Sabine Koch
BACKGROUND: Malaysia and Sweden have mapped their acute coronary syndrome registries using SNOMED CT. Since similar-purposed patient registries can be expected to collect similar data, these data should be mapped to the same SNOMED CT codes despite the different languages used. Previous studies have however shown variations in mapping between different mappers but the reasons behind these variations and the influence of different mapping approaches are still unknown. OBJECTIVES: To analyze similar-purposed registries and their registry-to-SNOMED CT maps, using two national acute coronary syndrome registries as examples, to understand the reasons for mapping similarities and differences as well as their implications...
March 31, 2017: Methods of Information in Medicine
https://www.readbyqxmd.com/read/28339775/mining-non-lattice-subgraphs-for-detecting-missing-hierarchical-relations-and-concepts-in-snomed-ct
#12
Licong Cui, Wei Zhu, Shiqiang Tao, James T Case, Olivier Bodenreider, Guo-Qiang Zhang
Objective: Quality assurance of large ontological systems such as SNOMED CT is an indispensable part of the terminology management lifecycle. We introduce a hybrid structural-lexical method for scalable and systematic discovery of missing hierarchical relations and concepts in SNOMED CT. Material and Methods: All non-lattice subgraphs (the structural part) in SNOMED CT are exhaustively extracted using a scalable MapReduce algorithm. Four lexical patterns (the lexical part) are identified among the extracted non-lattice subgraphs...
February 19, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28302519/using-ontology-based-semantic-similarity-to-facilitate-the-article-screening-process-for-systematic-reviews
#13
Xiaonan Ji, Alan Ritter, Po-Yin Yen
OBJECTIVE: Systematic Reviews (SRs) are utilized to summarize evidence from high quality studies and are considered the preferred source of evidence-based practice (EBP). However, conducting SRs can be time and labor intensive due to the high cost of article screening. In previous studies, we demonstrated utilizing established (lexical) article relationships to facilitate the identification of relevant articles in an efficient and effective manner. Here we propose to enhance article relationships with background semantic knowledge derived from Unified Medical Language System (UMLS) concepts and ontologies...
March 13, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28215561/analyzing-structural-changes-in-snomed-ct-s-bacterial-infectious-diseases-using-a-visual-semantic-delta
#14
Christopher Ochs, James T Case, Yehoshua Perl
Thousands of changes are applied to SNOMED CT's concepts during each release cycle. These changes are the result of efforts to improve or expand the coverage of health domains in the terminology. Understanding which concepts changed, how they changed, and the overall impact of a set of changes is important for editors and end users. Each SNOMED CT release comes with delta files, which identify all of the individual additions and removals of concepts and relationships. These files typically contain tens of thousands of individual entries, overwhelming users...
March 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28186011/mapping-local-codes-to-read-codes
#15
Wilfred Bonney, James Galloway, Christopher Hall, Mikhail Ghattas, Leandro Tramma, Thomas Nind, Louise Donnelly, Emily Jefferson, Alexander Doney
Background & Objectives: Legacy laboratory test codes make it difficult to use clinical datasets for meaningful translational research, where populations are followed for disease risk and outcomes over many years. The Health Informatics Centre (HIC) at the University of Dundee hosts continuous biochemistry data from the clinical laboratories in Tayside and Fife dating back as far as 1987. However, the HIC-managed biochemistry dataset is coupled with incoherent sample types and unstandardised legacy local test codes, which increases the complexity of using the dataset for reasonable population health outcomes...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/27884812/consumers-use-of-umls-concepts-on-social-media-diabetes-related-textual-data-analysis-in-blog-and-social-q-a-sites
#16
Min Sook Park, Zhe He, Zhiwei Chen, Sanghee Oh, Jiang Bian
BACKGROUND: The widely known terminology gap between health professionals and health consumers hinders effective information seeking for consumers. OBJECTIVE: The aim of this study was to better understand consumers' usage of medical concepts by evaluating the coverage of concepts and semantic types of the Unified Medical Language System (UMLS) on diabetes-related postings in 2 types of social media: blogs and social question and answer (Q&A). METHODS: We collected 2 types of social media data: (1) a total of 3711 blogs tagged with "diabetes" on Tumblr posted between February and October 2015; and (2) a total of 58,422 questions and associated answers posted between 2009 and 2014 in the diabetes category of Yahoo! Answers...
November 24, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27830249/efficient-results-in-semantic-interoperability-for-health-care-findings-from-the-section-on-knowledge-representation-and-management
#17
L F Soualmia, J Charlet
OBJECTIVES: To summarize excellent current research in the field of Knowledge Representation and Management (KRM) within the health and medical care domain. METHOD: We provide a synopsis of the 2016 IMIA selected articles as well as a related synthetic overview of the current and future field activities. A first step of the selection was performed through MEDLINE querying with a list of MeSH descriptors completed by a list of terms adapted to the KRM section. The second step of the selection was completed by the two section editors who separately evaluated the set of 1,432 articles...
November 10, 2016: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/27812127/structural-patterns-under-x-rays-is-snomed-ct-growing-straight
#18
Pablo López-García, Stefan Schulz
Unprincipled modeling decisions in large-domain ontologies, such as SNOMED CT, are problematic and might act as a barrier for their quality assurance and successful use in electronic health records. Most previous work has focused on clustering problematic concepts, which is helpful for quality control but faces difficulties in pinpointing the origin of those modeling problems. In this study, we examined the underlying structural patterns in SNOMED CT's data model as such patterns directly reflect the modeling strategies of editors...
2016: PloS One
https://www.readbyqxmd.com/read/27810481/evaluating-semantic-similarity-between-chinese-biomedical-terms-through-multiple-ontologies-with-score-normalization-an-initial-study
#19
Wenxin Ning, Ming Yu, Dehua Kong
BACKGROUND: Semantic similarity estimation significantly promotes the understanding of natural language resources and supports medical decision making. Previous studies have investigated semantic similarity and relatedness estimation between biomedical terms through resources in English, such as SNOMED-CT or UMLS. However, very limited studies focused on the Chinese language, and technology on natural language processing and text mining of medical documents in China is urgently needed...
December 2016: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/27777627/fedrr-fast-exhaustive-detection-of-redundant-hierarchical-relations-for-quality-improvement-of-large-biomedical-ontologies
#20
Guangming Xing, Guo-Qiang Zhang, Licong Cui
BACKGROUND: Redundant hierarchical relations refer to such patterns as two paths from one concept to another, one with length one (direct) and the other with length greater than one (indirect). Each redundant relation represents a possibly unintended defect that needs to be corrected in the ontology quality assurance process. Detecting and eliminating redundant relations would help improve the results of all methods relying on the relevant ontological systems as knowledge source, such as the computation of semantic distance between concepts and for ontology matching and alignment...
2016: BioData Mining
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