Page Information

    Page: 201911 Generating SNOMED CT-encoded test data vignettes using Wikipedia (UK) Edward Cheetham, NHS Digital (UK)
    Page: 201912 Generic pathology information model for laboratory test result reporting in the UK (FHIR and SNOMED)
    Page: 201913 How SNOMED CT can support a mobile app for the citizen empowerment
    Page: 201914 Implementation of SNOMED CT for knowledge representation of biomedical literature: A case study for cancer behavioral risk factors knowledge base Jiang Bian, University of Florida (US)
    Page: 201915 Implementing the new SNOMED CT Medicinal Product Concept Model through mapping to an existing in use medicinal product terminology
    Page: 201916 Integrating MyHarmony (Harmonization & Codification of Unstructured Data using SNOMED CT) with Malaysian Health Data Warehouse
    Page: 201917 Integrating the SNOMED CT and AMT drug models, revisited
    Page: 201918 Leveraging standardized nutrition terminology through SNOMED CT
    Page: 201919 Machine-readable medications instructions (UK) Emma Melhuish, NHS Digital (UK)
    Page: 201920 New modular reasoning capabilities for SNOMED CT classification beyond the EL profile
    Page: 201921 Applying Standards to Real-World Healthcare Data
    Page: 201922 SNOMED CT and antimicrobial stewardship
    Page: 201923 SNOMED CT and LOINC for computable phenotypes in Alzheimer’s Disease
    Page: 201924 SNOMED CT coding molecular and genomic pathology data for precision cancer medicine
    Page: 201925 SNOMED CT for regional and national chronic disease analysis and reporting
    Page: 201926 SNOMED CT in a dental EHR
    Page: 201927 SNOMED CT in India: Drug repository Susil Kumar Meher, All India Institute of Medical Sciences (IN)
    Page: 201928 SNOMED CT in India: Refset creation Susil Kumar Meher, All India Institute of Medical Sciences (IN)
    Page: 201929 SNOMED CT in i-Pesakit
    Page: 201930 The implementation of SNOMED CT in chronic obstructive pulmonary disease to support interoperability
    Page: 201931 SNOMED CT, NPU and LOINC integration for semantic interoperability of laboratory test results
    Page: 201932 SNOMED on a shoestring: the New Zealand implementation experience
    Page: 201933 SNOMED to ICD-10 mapping for implementation in disease registries Sukanya Rangamani ICMR-National Centre for Disease Informatics and Research, Bengaluru, India (IN)
    Page: 201934 Standardizing capture of social determinants of health
    Page: 201935 Taking advantage of ontologies to carry out searches of scientific bibliography in reliable information sources Nicolas Passadore, CEMICO (AR)
    Page: 201936 Quality Improvement Project
    Page: 201937 SNOMED CT support interoperability in Chinese cancer clinical lab test data
    Page: 201938 The Unified Test List: a SNOMED CT refset for reporting laboratory test results in the UK
    Page: 201939 The use of SNOMED as part of implemented clinical building blocks in national projects in the Netherlands
    Page: 201940 The use of SNOMED CT for immunization in Portugal and for cross-border care
    Page: 201941 The use of SNOMED CT in the registry and standardization of allergies and adverse reactions in Portugal
    Page: 201942 The value of SNOMED CT description for the mapping of Chinese rare diseases ontology Zhi Wang, Digital China Health Technologies (CN)
    Page: 201943 Units of measure for laboratory test result reporting in the UK (UCUM, FHIR and SNOMED), Jay Kola, NHS Digital (UK)
    Page: 201944 Use of SNOMED CT in the Swedish National Medications List
    Page: 201945 Use of SNOMED for strengthening medical certification of cause of death
    Page: 201946 Use Clinical Terminology to Support the UK IBD Data Registry Submission- The Good, Bad & Indifferent
    Page: 201947 Using SNOMED CT at Birdie to enhance safe living at home for older adults
    Page: 201948 Weekly content release of Singapore Drug Dictionary, a SNOMED CT SG Extension
    Page: 201950 SNOMED CT on FHIR
    Page: 201951 SNOMED CT demonstration: clinical data analytics
    Page: 201952 Interoperability and analytics – benefits of standardised terminology adoption
    Page: 201953 Demonstration of the new SNOMED CT OWL Axioms
    Page: 201954 Deep Learning & SNOMED CT
    Page: 201955 Practical implementation of SNOMED CT standards to drive design and functionality that drives process transformation and efficiency in HIS systems and clinical note taking in hospitals.
    Page: James Read Memorial Lecture - 2019
    Page: Tutorial: Data Analytics and Clinical Decision Support (2019)
    Page: Tutorial: Developing Subsets and Reference Sets (2019)
    Page: Tutorial: Intelligent Search and Data Entry (2019)
    Page: Tutorial: Introduction to SNOMED CT (2019)
    Page: Tutorial: SNOMED CT Quick Start (2019)
    Page: Tutorial: Understanding SNOMED CT's Description Logic Enhancements (2019)
    Page: Workshop: An Introduction to Authoring (2019)
    Page: Workshop: Managed Service for Beginners (2019)
    Page: Don Sweete
    Page: Frank Hester OBE
    Page: Ivan G. Boyd
    Page: YB Datuk Seri Dr. Dzulkefly Ahmad
    Page: Datuk Dr. Noor Hisham Abdullah
    Page: Research Engagement Workshop
    Page: Interoperation of the Electronic Health Record
    Page: 201955 AI based health signals discovery engine
    Page: Carolyn Gullery
    Page: Dr Christopher K.C. Lee