SNOMED for Clinicians

SNOMED International highly values clinical input into the development and maintenance of SNOMED CT. Clinical engagement ensures that the terminology meets both current and future clinical requirements. The session aims to provide an overview of clinical engagement and the work currently underway within SNOMED International and the broader clinical SNOMED CT community.  The session will be held as part of the SNOMED International Business Meetings and you can register for it on the event website.

Presenter: Dr Tejal Shah 
Tejal is a Lecturer in the School of Computing at Newcastle University where she leads on the design and delivery of multi-disciplinary Continuing Professional Development programmes that focus on digital skills and knowledge development across various domains including the Health Informatics CPD programme. She also teaches and mentors on the the Cyber Security and Software Engineering specialisms in the level 7 Digital and Technology Solutions Specialist Integrated Degree Apprenticeship programme and mentors the apprentices on these programmes.

Previously, Tejal was a Research Associate in the Institute of Health and Society at Newcastle University working on the Connected Health Cities (CHC) Programme where she was involved in designing computational models for consent. Prior to joining Newcastle University, she was a Research Assistant in the School of Information Technologies at the University of Sydney where she worked on the implementation of SNOMED CT in the in-house health information system that was developed as part of a research project.  

Her research interests include knowledge representation and reasoning with a particular focus on the application of semantic web technologies to domains with complex data modelling and analytics requirements such as IoT and healthcare.

Tejal received her PhD in Computer Science from the University of New South Wales, Sydney, Australia; Master of Health Informatics degree from the University of Sydney, Australia; and Bachelor of Dental Surgery (BDS) from Government Dental College, Mumbai, India.

Presenter: Dr. Matthew Valentine, Cure8 Health

Additional details to be announced

 

Visit our SNOMED International YouTube channel to access all of our SNOMED CT Clincal Web Series recordings from 2020.

May: One London Project/Using SNOMED CT for Clinical Analytics (Dr. Charles Gutteridge and Sophie Williams)
June: Using SNOMED-CT to articulate and make visible the multifaceted needs of disabled children: an opportunity to improve outcomes? (Karen Horridge)/SNOMED in EZDERM - supporting dermatology requirements (Srdan Prodanovic)
July: Standardized and complete Specimen details in the specimen cross-mapping table (Riki Merrick)/Keytrials - A trial discovery platform. Applying SNOMED to clinical trial annotation to drive semantic searching and EHR integration (Dr Wai Keong Wong) 
August: OpenEHR and the use of SNOMED CT to support clinical analytics (Ian McNicoll and Dr. Peter Hendler)
September: COVID and cancer - The use of real time data and open standards (Monica Jones)/Clinical engagement in Sweden (Daniel Karlsson and Dr. Keng Ling Wallin)
October: Starting from scratch with SNOMED in an EHR implementation. Experience in a global digital exemplar (Dermot O'Riordan)
December: SNOMED CT in a primary care setting to support and improve quality assurance (David Rocha)/GP practice systems in England: lessons learnt and advantages seen during COVID-19 (Denise Downs)

 

Topic: Using SNOMED CT relationships for data exploration and discovery in rare diseases - An example in urea cycle disorders

Presenter: Rachel Richesson, PhD, MPH, MS, FACMI, Department of Learning Health Sciences, University of Michigan (US)

Electronic 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.
 

Dr. Renate Schmidt, Warren Del-Pinto, Dr. Yongsheng Gao will be presenting:
Just the Right Amount - SNOMED CT Content Extraction and Sharing

In 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.

About Dr. Renate Schmidt
Renate Schmidt is University Reader in the Department of Computer Science at the University of Manchester and leads the Formal Methods Research Group. Her research involves the automation and theoretical analysis of reasoning methodologies of logics relevant to a variety of areas in Computer Science and Artificial Intelligence. The focus of her current work is the development of tools for ontology re-engineering, including ontology extraction and information hiding, query answering and automated prover generation.

About Warren Del-Pinto
Warren Del-Pinto is a Research Associate in the Department of Computer Science at the University of Manchester. His PhD research focused on hypothesis generation in knowledge bases via abductive reasoning. His current research interests include developing efficient methods for definition and hypothesis generation in ontologies, and the integration of knowledge-driven reasoning and data-driven learning.

About Dr. Yongsheng Gao
Yongsheng Gao is a senior terminologist at SNOMED International and the co-chair of Modeling Advisory Group with a focus on concept model development and integration with information models for interoperability. He has over 10 years’ extensive experience in terminology authoring, quality assurance and release. He also takes part in the development and review of international health informatics standards.

Download slide set

Prof. Christian Lovis and M. Christophe Gaudet-Blavignac presented "Sémantique 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'interessera aux recents travaux du service concernant la sémantisation des données médicales aux Hôpitaux Universitaires de Genève, avec un focus particulier sur la list commune des problèmes.

**in French/en français**

Download slide set
 

Utilizing the SNOMED CT hierarchy to generate patient-friendly clarifications: challenges and opportunities

The SNOMED CT Netherlands Patient-Friendly Extension contains a limited set of terms and definitions to help laymen understand medical data. In this presentation, Hugo shows 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.

Presenter: Hugo J.T. van Mens, MSC
PhD candidate at Amsterdam UMC and software developer at ChipSoft

Download slide set

Visit our SNOMED International YouTube channel to access all of our SNOMED CT Research Web Series recordings from 2020.

June: Can Wikipedia (and NLP) Be Used to Derive an Open Clinical Terminology? (Dr. Hoa Ngo)
July: SNOMED CT - OWL in a FAIR web of data (Dr. Ronald Cornet)
August:  Mapping Korean Classification of Diseases and Medical Procedure Codes to SNOMED CT (Dr. Hyeoun-Ae Park)
September: Implementation of a Terminology Server with SNOMED CT in Graph Databases (Elizabeth Silva Layes)
October: Transitioning from Text-Based to Code-Based NLP Rules using SNOMED CT for Data Normalization and Standardization (Michael Denton and Jacee Robison)
November: Bridging the RWD databases across the countries to empower studies on COVID-19 (Dr. Gong Mengchun)

The practical application of SNOMED CT in clinical decision support and integration with GP health records

Presenters:

• Jonathan Olsen: System Architect BPAC CS
• Eric Robertson: Chief Information Officer, BPAC CS
• Ian Rubin: Medical Director, CARE IS

This 90 minute implementation webinar focuses on the practical application of SNOMED CT in clinical decision support in a primary healthcare setting, and the architecture and information management that support it. BPAC Clinical Solution's core business is providing clinical tools and systems to the primary health sector and linking eHealth systems together, within New Zealand, Australia and the UK, to help improve the patient journey. At the heart of these clinical tools are a rules engine and the APIs that provide the ability to read coded clinical data from the patient's record into the rules engine to support clinical decision making and improve efficiency. The rules engine is built using SNOMED CT as the clinical ontology of choice.
 

Visit our SNOMED International YouTube channel to access all of our SNOMED CT Clincal Web Series recordings from 2020.

September: Natural Language Processing and SNOMED CT (Walter Verbrugge, Mathias De Wachter, Dr Md Khadzir bin Sheikh Ahmad and Dr Muhammad Naufal bin Nordin)
December: Implementation Adventures in SNOMEDLand – Lessons learned from 6 years of supporting SNOMED CT adoption in the NHS (Pete Turnbull)