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The Research Web Series is a collection 60 minute webinars presented by distinguished researchers from the SNOMED CT community. The webinars showcase current research involving SNOMED CT.  

Registration is open to all and there is no cost to attend. 

To present in a future webinar contact or 

DatePresenterTalk TitleDescriptionVideoSlides
May 2020Olivier BodenreiderSNOMED CT and research – why should the SNOMED community and the research community care?SNOMED CT offers a rich domain of application to informatics researchers interested in biomedical terminologies. However, research involving SNOMED CT is often performed independently from the SNOMED community. While standards development is generally anchored in pragmatism, Dr. Bodenreider will explain how  the SNOMED community would benefit from further engaging terminology researchers in the development and evaluation of SNOMED CT.SNOMED International Youtube channel

June 2020Hoa NgoCan Wikipedia (and NLP) Be Used to Derive an Open Clinical Terminology?Clinical terminologies play an essential role in enabling semantic interoperability between medical records. However, existing terminologies have several issues that impact data quality, such as content gaps and slow updates. This presentation will highlight recent work exploring the suitability of existing, community-driven resources, such as Wikipedia, as a potential source to bootstrap open clinical terminologies for content coverage.SNOMED International Youtube channel

July 2022Ronald CornetSNOMED CT - OWL in a FAIR web of dataNow that the OWL format provides the “source of truth” of the semantics of SNOMED CT concepts, the challenge lies in reaping the benefits of using these concepts in a semantic web of healthcare data.  In this way, SNOMED can drive interoperability, a key aspect of FAIR (Findable, Accessible, Interoperable, Reusable) data.  This webinar will present principles, practice, pitfalls, and potential of this FAIR semantic web approach.SNOMED International Youtube channel

August 2020Park Hyeoun-AeMapping Korean Classification of Diseases and Medical Procedure Codes to SNOMED CTThe Korean government is undertaking various Health IT initiatives such Health Information Exchange, EMR certification and Data-centered Hospitals. Use of standardized terminologies and vocabularies are recommended for these initiatives. To promote the use of SNOMED CT as a reference terminology in the country, the Korean Ministry of Health and Social Welfare has developed maps of the Disease Classification and Medical Procedure Codes used for National Health Insurance claims to SNOMED CT. Dr. Park will briefly introduce Healthcare in Korea with the Health IT initiatives and present preliminary results of the SNOMED CT mapping project.SNOMED International Youtube channel

September 2020Elizabeth Silva LayesImplementation of a Terminology Server with SNOMED CT in Graph Databases

Presentará una experiencia de implementación y uso de un servidor terminológico en una institución de salud en Uruguay, cuya arquitectura está basada en SNOMED CT utilizando bases de datos gráficas.

(Presented in Spanish)

SNOMED International Youtube channel

October 2020Michael Denton and Jacee RobisonTransitioning from Text-Based to Code-Based NLP Rules using SNOMED CT for Data Normalization and StandardizationThis presentation will describe a pilot project to implement a solution for the translation of text string rules in a natural language processing (NLP) application to concept-based rules using SNOMED CT. The project results demonstrate a successful translation from text strings to 1:Many codable concepts.SNOMED International Youtube channel

November 2020Gong MengchunBridging the RWD databases across the countries to empower studies on COVID-19This presentation will share recent accomplishments utilizing SNOMED CT as the key terminology to coordinate real-world evidence studies around the world on COVID-19. SNOMED CT has been bridging the EHR/EMR databases in different countries to build up a network for large-scale analysis on the demographics, clinical features, treatment, and health outcomes of COVID-19 patients. The implementation of SNOMED CT in a broader scope will help the global community to prepare for the next-wave of COVID-19 and the next communicable disease. SNOMED International Youtube channel

January 2021Renate Schmidt, Warren Del-Pinto and Yongsheng GaoJust the Right Amount - SNOMED CT Content Extraction and SharingIn this presentation we report on progress in developing a bespoke content extraction and sharing prototype. The prototype is aimed at  supporting users to compute a sub-ontology that succinctly summarizes content in an ontology relating to a narrow focus and enable sharing between different extensions of SNOMED CT. We will illustrate the utility of the ideas in a number of examples.SNOMED International Youtube channel

February 2021Christian LovisSémantique aux Hôpitaux Universitaires de Genève: Le dossier patient, un livre écrit en SNOMED

Le Service des Sciences de l'Information Médicale (SIMED) explore le domaine de la sémantique et le potentiel de SNOMED CT depuis de nombreuses années. Cette présentation s'intéressera aux récents travaux du service concernant la sémantisation des données médicales aux Hôpitaux Universitaires de Genève, avec un focus particulier sur la liste commune des problèmes.

(Presented in French)

SNOMED International Youtube channel

March 2021Hugo J.T. van MensUtilizing the SNOMED CT hierarchy to generate patient-friendly clarifications: challenges and opportunitiesThe SNOMED CT Netherlands Patient-Friendly Extension contains a limited set of terms and definitions to help laymen understand medical data. In this presentation, Hugo will show how he used this relatively small set, and the SNOMED CT hierarchy, to generate clarifications for a high percentage of all diagnoses. Results from a validation study and plans for further research and development will be discussed.SNOMED International Youtube channel

April 2021Rachel RichessonUsing SNOMED CT relationships for data exploration and discovery in rare diseases – An example in urea cycle disordersElectronic clinical and research data coded with SNOMED CT can be used to accelerate the discovery of detailed clinical phenotypes, which are vital to understanding the pathology and management of rare and emerging disorders. The formal semantic relationships in SNOMED CT can support the exploration and analysis of data to recognize new clinical phenotypes, but methods and tools for using these relationships in clinical analytics or research are not readily accessible. In this webinar, I describe our collaborative approach to semantic-based data exploration in a large research dataset on children with rare Urea Cycle Disorders (UCD). Our approach includes a multi-disciplinary team, a graph database representation of SNOMED CT relationships, and a prototype interactive data visualization tool.SNOMED International Youtube channel

June 2021Peter JonesAccuracy of Real-Time SNOMED-CT Coding by Clerks and Clinicians: A Case Study in Auckland, New ZealandThis presentation will focus on audits of the quality of real time clerk and clinician coding of Emergency Department visits using the NZ ED SNOMED CT reference sets.SNOMED International Youtube channel

July 2021Vipina Kuttichi Keloth and James GellerExtending import detection algorithms for concept import from two to three biomedical terminologiesWhile enrichment of terminologies can be achieved in different ways, filling gaps in the IS-A hierarchy backbone of a terminology appears especially promising. To avoid difficult manual inspection, we started a research program in 2014, investigating terminology densities, where the comparison of terminologies leads to the algorithmic discovery of potentially missing concepts in a target terminology.  In this talk, we are extending the algorithmic detection of "candidate concepts for import" from one source terminology to two source terminologies used in tandem.SNOMED International Youtube channel

September 2021Jesualdo Tomás Fernández Breis and Francisco Abad NavarroAnalysis of readability and structural accuracy in SNOMED CTIn the last years our research group has developed ontology quality assurance frameworks such as OQuaRE and OntoEnrich which allow for identifying strengths and flaws in the structure and engineering of the ontologies by exploiting both the logical and lexical content of the ontologies. In this work we will introduce the quality metrics we apply for studying the readability and the structural accuracy of ontologies. Readability quantifies the human-readable content, whereas structural accuracy accounts for the alignment between the lexical and the logical content. We will show and discuss the results of their application to SNOMED CT.SNOMED International Youtube channel

November 2021Rohit KateObtaining Clinical Term Embeddings from SNOMED CTClinical term embeddings are numerical vector representations of clinical terms which are essential for applying deep learning based methods for analyzing clinical text. Such embeddings are commonly obtained using corpus-based methods. But in this webinar, I will present a method to obtain clinical term embeddings solely from SNOMED CT. First, concept embeddings are obtained from SNOMED CT’s graph, then a deep neural network is used to derive clinical term embeddings from them. Our evaluations show that clinical term embeddings from SNOMED CT perform overall better than corpus-based embeddings on benchmark clinical term similarity datasets.SNOMED International Youtube channel

December 2021Petr KřemenIs SNOMED CT just for healthcare?SNOMED CT is not only a healthcare terminology but also an ecosystem of technical standards and tools for its management. The talk will discuss the potential of the SNOMED CT ecosystem to manage terminologies of other, non-healthcare, domains.SNOMED International Youtube channel

January 2022Anna RossanderSNOMED CT Terminology Binding: a state-of-the art review with recommendations for practice and researchThis presentation will walk through a literature review of SNOMED CT terminology binding and stimulate engaging discussion on how we as a community involved in SNOMED CT, can leverage these findings to increase and improve use of SNOMED CT.SNOMED International Youtube channel

February 2022Paulette ChandlerHypertension Demonstration Project in the  All of Us Research Workbench: Using SNOMED codes in the EHRHypertension (HTN) is a major public health concern and remains a leading risk factor for other diseases. This hypertension prevalence project uses the All of Us Researcher Workbench, a cloud-based platform where approved researchers can access and analyze All of Us data. The Workbench includes data from All of Us surveys, Electronic Health Records (EHR), and physical measurements (PM). SNOMED  codes are used in an hypertension EHR algorithm to identify patients with hypertension. Our rationale for this study was to validate a definition of HTN in the All of Us Research Program Workbench using rule-based algorithms.SNOMED International Youtube channel

March 2022Fuad RahmanComputable healthcare data - Challenges and opportunities of generating targeted insights and impacting real outcomes using machine learning and artificial intelligenceThe healthcare system is data rich, but information poor. Organizations are actively looking for solutions that will allow them to extract value from unstructured, which according to many studies is up to eighty percent of healthcare data and structured data at a time when the industry is facing economic pressures, new regulatory requirements, and a continuing shift to value-based care. In this talk, we will focus on ways of making healthcare data computable, and discuss how that has a huge potential of impacting real outcomes. SNOMED International Youtube channel

June 2022Stefan SchulzIs SNOMED CT an appropriate reference terminology for mining electronic health records?Much content in EHRs is only available in narrative form. Information extraction based on NLP (Natural Language Processing) is therefore an important step towards interoperability of unstructured content. Based on the author's experience of automatically annotating German language clinical texts with SNOMED CT, this talk highlights lessons learnt and ongoing challenges, particularly regarding the match between clinicians' jargon and the language of controlled terminologies.

Part 1 - SI Youtube

Part 2 - SI Youtube

October 2022Anthony ShekExperiences from automating hospital-wide SNOMED-CT extractionHospitals generate data daily – from patients to medical professionals, diagnostic tests to radiological reports. Where most of the clinically valuable information is held within unstructured clinical narratives. This talk will highlight a success story of using free and open-source software to retrospectively structure millions of real-world documents with SNOMED CT.SNOMED International Youtube channel

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