University Hospitals Leuven launched a project enabling clinicians to directly code diagnoses in the problem list using SNOMED-CT (SCT), ensuring structured documentation in the EPR. The initiative focuses on creating specialty-tailored diagnosis lists, developed with in-house-terminologists. A critical need arises in rare disease (RD) care, where physicians require Orphanet coding, unsupported by the EPR. Though the system's SCT-only design simplifies queries and ensures transparency, the hospital uses a SCT-Orphanet mapping to bridge this gap. Dedicated SCT-concepts from the mapping are preloaded into the EPR, allowing RD coding in SCT while preserving Orphanet traceability. These are extracted to the datawarehouse. To date, 6258 unique RD patients have been registered, using 669 Orphanet terms and 1120 SCT terms. The discrepancy stems from a hospital-curated extension list of RDs not yet in the mapping but flagged by clinicians. Challenges remain: the current mapping includes 94.9% of Orphanet concepts at disorder level, but only 29.9% at subtype level, though subtypes often coexist in both terminologies. This leads to underreporting: a one-time analysis using SCT-hierarchies and the mapping increased RD patient extraction by 20%; this cascade approach counted child terms in the SCT hierarchy as RDs when linked to a parent Orphanet code (adding 10833 SCT-concepts to the official 6664 entries). Newly described RDs face delays awaiting annual mapping update; Orphanet added 166 new RDs in 2024. Clinicians emphasize the need to document causative genes as a future terminology priority. This project shows how mappings can overcome EPR limitations, enabling standardized RD-registration in constrained environments. Back View Map UZ Leuven (1 of 3) Standardizing rare disease registration: a SNOMED CT-Orphanet mapping approach in the electronic patient record of University Hospitals Leuven Read More Country / Region EMEA Tags Clinical Practice, Data analytics, Implementation, Innovation, Mapping University Hospitals Leuven launched a project enabling clinicians to directly code diagnoses in the problem list using SNOMED-CT (SCT), ensuring structured documentation in the EPR. The initiative focuses on creating specialty-tailored diagnosis lists, developed with in-house-terminologists. A critical need arises in rare disease (RD) care, where physicians require Orphanet coding, unsupported by the EPR. Though the system's SCT-only design simplifies queries and ensures transparency, the hospital uses a SCT-Orphanet mapping to bridge this gap. Dedicated SCT-concepts from the mapping are preloaded into the EPR, allowing RD coding in SCT while preserving Orphanet traceability. These are extracted to the datawarehouse. To date, 6258 unique RD patients have been registered, using 669 Orphanet terms and 1120 SCT terms. The discrepancy stems from a hospital-curated extension list of RDs not yet in the mapping but flagged by clinicians. Challenges remain: the current mapping includes 94.9% of Orphanet concepts at disorder level, but only 29.9% at subtype level, though subtypes often coexist in both terminologies. This leads to underreporting: a one-time analysis using SCT-hierarchies and the mapping increased RD patient extraction by 20%; this cascade approach counted child terms in the SCT hierarchy as RDs when linked to a parent Orphanet code (adding 10833 SCT-concepts to the official 6664 entries). Newly described RDs face delays awaiting annual mapping update; Orphanet added 166 new RDs in 2024. Clinicians emphasize the need to document causative genes as a future terminology priority. This project shows how mappings can overcome EPR limitations, enabling standardized RD-registration in constrained environments. Description This initiative at UZ Leuven focuses on standardizing diagnosis coding in the electronic patient record (EPR) by implementing SNOMED CT (SCT) as the primary terminology for clinician-driven problem list documentation. The project spans: * Clinical Adoption: * Development of specialty-specific diagnosis lists in collaboration with terminologists, enabling clinicians to code diagnoses directly in SCT at the point of care. * Rare Disease (RD) Workflow: * Addressing the gap in Orphanet coding (unsupported in the EPR) via a custom SCT-Orphanet mapping, allowing RD documentation in SCT while preserving traceability to Orphanet. * Preloading mapped SCT terms into the EPR to streamline RD registration. * Data Extraction & Challenges: * Automated extraction of coded RD data to the warehouse, with ongoing validation to ensure accuracy. * Maintenance of an internal extension list for RDs not yet covered by the official mapping. * Future Priorities: * Mapping expansion: Addressing gaps for RD subtypes and newly described diseases, which face delays due to annual mapping update cycles. * Gene-Disease Links: Developing terminology support to capture causative genes, a key unmet need for RD characterization. Scope SCT was adopted as the primary clinical terminology for this initiative due to the following key factors: * EPR system mandate * Our EPR (KWS) requires SCT as its native terminology standard for structured data entry, ensuring system-wide consistency and interoperability. * Comprehensive clinical coverage * SCT's broad scope covers all medical domains, allowing unified coding of both common and rare diagnoses within a single terminology framework. * This eliminates the need for multiple parallel coding systems, reducing complexity for clinicians. * Mapping Capabilities * While our clinicians prefer Orphanet for rare diseases, SCT's mapping functionality to external terminologies provides a pragmatic workaround: * The existing SNOMED CT-Orphanet mapping enables rare disease coding while preserving traceability to Orphanet codes. * Mapped concepts are preloaded in the EPR for clinician convenience. * Regulatory and Interoperability Benefits * SNOMED CT is an international standard and its use facilitates data exchange with other healthcare institutions and research partners. How SNOMED CT will be used In this project, SNOMED CT (SCT) serves as the primary terminology standard for encoding diagnoses in the electronic patient record (EPR), with specific applications: * Structured problem list documentation: * Clinicians directly code all clinically relevant diagnoses in SCT at the point of care, ensuring standardized data entry in the problem list. * Specialty-specific subsets of SCT (e.g., for cardiology, neurology) are curated with terminologists to streamline clinician workflows. * Rare Disease (RD) coding via mapping: * To address the lack of native Orphanet support in the EPR, an SCT-Orphanet mapping enables RD documentation: * Predefined SCT concepts (e.g., "Disorders" and "Findings" from the mapping) are preloaded into the EPR. * Physicians select SCT terms that map to Orphanet codes, preserving traceability for downstream use (e.g., registries, analytics). * Data extraction & interoperability: * Coded SCT diagnoses are extracted to the data warehouse, where the mapping enables automatic translation to Orphanet for RD-specific reporting. * Internal validation ensures consistency, supplemented by a hospital-maintained SCT extension list for RDs not yet mapped. Why SNOMED CT will be used Contact More information Learn more Get SNOMED CT Information about our license and fee structure Learn more Learn more Explore the wide range of resources available to our community of practice Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

Health Informatics Back Health Informatics Vendor Overview Our mission is to Promote Health Informatics Excellence in Pakistan. We are Pakistani health informaticians working around the world and have established this centre for the purpose of promoting best practices for implementing eHealth. We work directly with our clients through resident staff in 11 countries and specialize in Healthcare, Emergency Services Command & Control Systems, Enterprise Mobile Apps and Geo Spatial Systems. With over 300 experienced Software Developers and Project Managers we are able to undertake complex enterprise product development globally. Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe SNOMED CT-enabled solutions Indici - Primary Care Spectrum - URGENT & UNPLANNED CARE CareMonX™ EMS Suite- Electronic Patient Care Reporting & Data Management Solution CareMonX™CAD- Emergency Dispatch Vivasta - Enhanced Independent Living MIA - Major Incident Alerting PROMMS - Professional Membership Management System Exaro Script - Digital Pen Technology HazIT - Waste Disposal Management System BizNav - Empowering Your Business Process Scope of services Analytics, Chronic disease, Clinical coding, Clinical documentation, Diagnostic imaging, Drug, EHR, EMR, Lab, Middleware, Oncology, Order sets, Pharmacy, Telehealth Downloadable documents Office Vancouver Contact details Abdul Rauf Assistant Director Project 00923335414465 abdul.rauf@valentiatech.com Regions where operational Africa, Asia, Europe, Global, Middle East, North America, Oceania, South America

The National Board of Health and Welfare has, within the Swedish strategy for eHealth, the overall responsibility for providing national resources for standardized health and social care information. Sweden The National Board of Health and Welfare has, within the Swedish strategy for eHealth, the overall responsibility for providing national resources for standardized health and social care information. Contact Details The National Board of Health and Welfare 106 30 Stockholm Sweden Telephone: +46(0)75 247 3000 Websites: https://www.socialstyrelsen.se/kunskapsstod-och-regler/omraden/e-halsa/snomed-ct/ Appointed Representatives General Assembly: Carl Nilsson Member Forum: Niklas Eklöf, Erica Culp News articles These resources include the national and international classifications, the Swedish terminology database and SNOMED CT, as well as the national information structure initiative. The National Board of Health and Welfare runs the SNOMED CT National Release Centre, and is responsible for maintaining and distributing the Swedish extension of SNOMED CT. The extension contains translations into Swedish of the preferred terms from the international edition as well as nationally added content which is specific to Swedish health care. The National Release Centre is also in charge of user support and training to external stakeholders, and collaborates with other organizations to promote adoption of SNOMED CT. Some of the key adoption projects are presented on SNOMEDinAction.org. The national source for reasons for prescribing medication, with SNOMED CT serving as the foundation for the terminology, has been finalized and there is an ongoing discussion with other organizations on how to make it available in EHR systems. A coding system for medical alert information has been developed including allergies, contagious diseases and critical conditions using SNOMED CT and other coding systems. Integration of SNOMED CT concepts into national clinical guidelines and other resources for knowledge published by the National Board of Health and Welfare is ongoing and the Swedish NRC is involved in a national initiative to use SNOMED CT within pathology. The first stage of the project is focused on pancreatic cancer. More information about SNOMED CT in Sweden can be accessed here: https://www.socialstyrelsen.se/kunskapsstod-och-regler/omraden/e-halsa/snomed-ct/ Back Learn more Global Patient Set Built from the globally recognized SNOMED CT terminology standard at no cost to users Learn more Get SNOMED CT Information about our license and fee structure Learn more Software and tools We develop and operate applications platforms to support our products and services Learn more Document library Access overviews, guides and specifications Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

This study presents a method for the automatic standardization of Chinese clinical terms to SNOMED CT using large language model (LLM) technology. To address the challenges of mapping Chinese medical terminology to standardized international vocabularies, the research constructs a dataset covering diverse clinical terms and fine-tunes a pretrained large model (DeepSeek-V3) to improve the accuracy and efficiency of term mapping. Experimental results demonstrate that the LLM-based approach significantly outperforms traditional rule-based or dictionary-based methods. It effectively handles complex cases such as polysemy and term variations, while also supporting contextual understanding to ensure precise term alignment. This technology has the potential to enhance clinical data integration and interoperability, providing standardized terminology support for intelligent healthcare systems and medical research applications. Back View Map Digital Health China (1 of 2) Automatic Standardization of Chinese Clinical Terms to SNOMED CT Based on Large Language Model Technology Read More Country / Region APAC Tags Global/International, Innovation, Mapping, Translation This study presents a method for the automatic standardization of Chinese clinical terms to SNOMED CT using large language model (LLM) technology. To address the challenges of mapping Chinese medical terminology to standardized international vocabularies, the research constructs a dataset covering diverse clinical terms and fine-tunes a pretrained large model (DeepSeek-V3) to improve the accuracy and efficiency of term mapping. Experimental results demonstrate that the LLM-based approach significantly outperforms traditional rule-based or dictionary-based methods. It effectively handles complex cases such as polysemy and term variations, while also supporting contextual understanding to ensure precise term alignment. This technology has the potential to enhance clinical data integration and interoperability, providing standardized terminology support for intelligent healthcare systems and medical research applications. Description 1.Data Level: Scope SNOMED CT is employed as the standardized medical terminology system to establish a unified and structured mapping between Chinese clinical terms and international medical knowledge frameworks. Key uses include: 1.Term Alignment Goal: Automatically maps unstructured Chinese clinical terms—such as disease names and symptom descriptions—to the corresponding standard terms or concept IDs in SNOMED CT. 2.Reference System for Matching: SNOMED CT serves as the reference system for validating whether Chinese terms have been correctly standardized and for evaluating mapping outcomes. 3.Training and Evaluation Benchmark: The outputs of the large language model are compared against SNOMED CT concepts to assess semantic accuracy and normalization effectiveness. In summary, SNOMED CT is used as the target system for standardization, providing structured coding, unified semantic representation, and enabling interoperability of medical information. How SNOMED CT will be used SNOMED CT was chosen as the target standard vocabulary for the following key reasons: 1.International Authority: SNOMED CT is one of the most comprehensive and well-structured medical terminology systems globally, widely adopted in clinical information systems and electronic health records. 2.Comprehensive Coverage: It includes a wide range of medical concepts—such as diseases, symptoms, procedures, and diagnostics—making it suitable for mapping common expressions in Chinese clinical text. 3.Semantic Interoperability: Using SNOMED CT facilitates semantic interoperability between Chinese clinical data and global medical information systems, enhancing data sharing and integration. 4.Support for Standardization and Global Integration: Aligning with SNOMED CT promotes the standardization of Chinese healthcare data and its integration into the international medical ecosystem. Therefore, SNOMED CT was selected to achieve high-quality, internationally compatible terminology normalization and to improve the global applicability of Chinese clinical terms. Why SNOMED CT will be used Contact More information Learn more Get SNOMED CT Information about our license and fee structure Learn more Learn more Explore the wide range of resources available to our community of practice Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

This study presents a methodology for constructing a Traditional Chinese Medicine (TCM) semantic network system based on SNOMED CT, addressing challenges in terminology standardization and knowledge integration within the TCM domain. By analyzing SNOMED CT's framework and encoding rules, and incorporating TCM-specific features (e.g., property-channel tropism, efficacy classification), we designed an ontological model encompassing core concepts, attribute relationships, and terminology mapping. The system employs semantic web technologies (e.g., RDF, OWL) to establish hierarchical and associative relationships among TCM concepts (e.g., "incompatibility," "pharmacological effects") while ensuring compatibility with SNOMED CT for international standardization. Experimental validation involved constructing a prototype semantic network (e.g., nodes for Astragalus membranaceus) to demonstrate the system's efficacy in terminology normalization, knowledge reasoning, and cross-domain data linkage. This research provides a feasible solution for standardizing and enabling intelligent applications (e.g., clinical decision support, big data analytics) of TCM knowledge, while expanding SNOMED CT's applicability to traditional medicine. It aims to foster integration between TCM and Western medicine and advance the modernization and digitization of TCM through foundational semantic infrastructure. Back View Map Digital Health China (2 of 2) Construction of a Traditional Chinese Medicine Semantic Network System Based on SNOMED CT Read More Country / Region APAC Tags Global/International, Innovation, Research This study presents a methodology for constructing a Traditional Chinese Medicine (TCM) semantic network system based on SNOMED CT, addressing challenges in terminology standardization and knowledge integration within the TCM domain. By analyzing SNOMED CT's framework and encoding rules, and incorporating TCM-specific features (e.g., property-channel tropism, efficacy classification), we designed an ontological model encompassing core concepts, attribute relationships, and terminology mapping. The system employs semantic web technologies (e.g., RDF, OWL) to establish hierarchical and associative relationships among TCM concepts (e.g., "incompatibility," "pharmacological effects") while ensuring compatibility with SNOMED CT for international standardization. Experimental validation involved constructing a prototype semantic network (e.g., nodes for Astragalus membranaceus) to demonstrate the system's efficacy in terminology normalization, knowledge reasoning, and cross-domain data linkage. This research provides a feasible solution for standardizing and enabling intelligent applications (e.g., clinical decision support, big data analytics) of TCM knowledge, while expanding SNOMED CT's applicability to traditional medicine. It aims to foster integration between TCM and Western medicine and advance the modernization and digitization of TCM through foundational semantic infrastructure. Description The study focuses on: Terminology Standardization: Developing a TCM-compatible terminology system based on SNOMED CT to unify TCM expressions. Semantic Network Construction: Using RDF/OWL to model TCM concept relationships (e.g., property-channel tropism, efficacy, incompatibility). Knowledge Integration & Mapping: Aligning TCM knowledge (e.g., herbs, formulas, pharmacology) with SNOMED CT for interoperability. Application Validation: Testing feasibility via exemplary networks (e.g., Pogostemon cablin nodes) for clinical decision support and analytics. Scope Global Authority: Widely adopted in EHRs, enhancing TCM's international compatibility. Structured Knowledge Representation: Hierarchies and semantic relationships support modeling TCM complexities. Semantic Reasoning: Enables future applications like automated drug interaction checks. Cross-Domain Mapping: Bridges TCM-Western medicine terminology (e.g., herb-drug combinations). Extensibility: Open update mechanisms allow incremental TCM concept additions. How SNOMED CT will be used Key uses include: Standardization Framework: Adapting SNOMED CT's hierarchies (e.g., "substance/drug," "procedure") for TCM ontology design. Semantic Extension: Extending SNOMED CT's relationships (e.g., Is_a, Part_of) to TCM-specific links (e.g., "channel tropism"). Terminology Mapping: Partial alignment of TCM concepts (e.g., Astragalus "Herbal drug") for cross-domain interoperability. Technical Compatibility: Using OWL/RDF to ensure integration with global medical knowledge graphs. Limitation: SNOMED CT's limited TCM coverage necessitates supplemental TCM-specific concepts. Why SNOMED CT will be used Contact More information Learn more Get SNOMED CT Information about our license and fee structure Learn more Learn more Explore the wide range of resources available to our community of practice Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

Joint Initiative Council Releases Inaugural Standards Set for Patient Summary Back 11 Jan 2018 Back In April 2015, the Joint Initiative Council (JIC), a collaborative of 8 international digital health standards development organisations, discussed its strategic direction and agreed upon the following goal: The JIC will contribute to better global patient health outcomes by providing strategic leadership in the specification of sets of implementable standards for health information sharing. Charged with operationalizing this goal, the JIC identified the need to develop a number of relevant use case-focused Standards Sets. Standards Sets follow the working definition of a coherent collection of standards and standards artefacts that support a specific use case. The first Standards Set the JIC prioritized for completion is the Patient Summary. Through a collaborative development process drawing upon international subject matter expertise, JIC membership and public consultation, a JIC coordination group has developed the Patient Summary Standards Set for immediate release. This Standards Set and its supporting documents are predominantly geared at vendors, healthcare organisations and governments/policy makers who are exploring ways of developing and implementing Patient Summaries. As a guidance document, the Standards Set provides an overview of standards, standards artefacts and profiles that meet agreed criteria for a specific Use Case. It does not recommend a single or specific implementation for a particular topic. Rather, the intent is to provide sufficient detail to enable different stakeholders to choose the standards, artefacts and profiles most suited to satisfying their requirements. The Standards Set is free for use and developed in line with best practice such as the work in ISO TC 215 on the Reference Standards Portfolio. It is a ‘living’ document that will be maintained and updated based on feedback, evolution and emergence of new standards and related artefacts on an annual basis. The collection of information artefacts, including the Patient Summary Standards Set, can be accessed via the dedicated Patient Summary Standards Set page on the Joint Initiative Council website. In addition to the PSSS guidance document, the JIC has made all supporting resources available for your use. To this end, as a means of supporting national and international bodies in their efforts to increase efficiency and coordination while reducing duplication, the JIC invites stakeholders to invest time in the review, use and betterment of this inaugural Standards Set.For additional information, please contact psssfeedback@snomed.org . Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

The EuroHeart ACS/PCI data standards have been developed by the European Society of Cardiology for use in quality registries and research. Following a pilot implementation of EuroHeart ACS/PCI in the HSE South West of Ireland the intention was to roll out the standards and platform nationally. The EuroHeart ACS/PCI reference set that was developed in Ireland is now going to be used throughout Europe through the EuroHeart registry IT Platform. Standardised data definitions are essential for the reliable investigation of quality of care and outcomes in observational studies and randomised controlled trials. Variety in such definitions impedes benchmarking and leads to inconsistencies that directly impact the interpretation of clinical studies and the implementation of their findings. The EuroHeart registry IT platform provides a reliable foundation for clinical quality registries, including pre-built data entry forms, mandatory data sets, and quality indicators. As healthcare systems evolve, the need for efficient data exchange and interoperability becomes a necessity. FHIR is the globally recognised standard that facilitate secure and reliable health data sharing. As Ireland's EuroHeart Registry Centre (EHRC) now have mapped the EuroHeart ACS-PCI mandatory data set to SNOMED,a standard that enables the use of FHIR, the benefits of the FHIR adapted APIs can be utilized for easy and correct data exchange. The enhancement of the EuroHeart platform with APIs supporting these standards can offer numerous advantages. Back View Map Health Service Executive, Ireland (2 of 2) EuroHeart Registry- Enhancing cardiovascular data by applying standards Read More Country / Region EMEA Tags Clinical Practice, Data analytics, Data quality, EHDS (European Health Data Space), Research The EuroHeart ACS/PCI data standards have been developed by the European Society of Cardiology for use in quality registries and research. Following a pilot implementation of EuroHeart ACS/PCI in the HSE South West of Ireland the intention was to roll out the standards and platform nationally. The EuroHeart ACS/PCI reference set that was developed in Ireland is now going to be used throughout Europe through the EuroHeart registry IT Platform. Standardised data definitions are essential for the reliable investigation of quality of care and outcomes in observational studies and randomised controlled trials. Variety in such definitions impedes benchmarking and leads to inconsistencies that directly impact the interpretation of clinical studies and the implementation of their findings. The EuroHeart registry IT platform provides a reliable foundation for clinical quality registries, including pre-built data entry forms, mandatory data sets, and quality indicators. As healthcare systems evolve, the need for efficient data exchange and interoperability becomes a necessity. FHIR is the globally recognised standard that facilitate secure and reliable health data sharing. As Ireland's EuroHeart Registry Centre (EHRC) now have mapped the EuroHeart ACS-PCI mandatory data set to SNOMED,a standard that enables the use of FHIR, the benefits of the FHIR adapted APIs can be utilized for easy and correct data exchange. The enhancement of the EuroHeart platform with APIs supporting these standards can offer numerous advantages. Description Following a pilot implementation of EuroHeart ACS/PCI in the HSE South West of Ireland, the intention is to roll out the standards and platform nationally. The project team brought their dataset for review through the Data Specification management Process in the HSE. This process review the dataset to ensure standards are met and ensure quality assurance and have early input from down stream functions to enhance service planning, analytics and reporting. Once the DSMP was completed work progressed on the devolopment of the EuroHeart ACS/PCI reference set. This was developed over a matter of months and a vast amount of new authoring was also developed through the National Release Centre of SNOMED CT Ireland. Once the reference set was developed and published the EuroHeart Registry IT platform was very happy to engage and will be using this reference set on a European platform. Scope SNOMED CT was chosen due to its International interoperability and it enables the use of FHIR, the benefits of the FHIR adapted APIs can be utilized for easy and correct data exchange. How SNOMED CT will be used SNOMED CT will not only be used in in the Irish setting for auditing of Cardiac disease but also now implemented in to the EuroHeart registry IT platform. Why SNOMED CT will be used Contact More information Learn more Get SNOMED CT Information about our license and fee structure Learn more Learn more Explore the wide range of resources available to our community of practice Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

The Ministry of Health (MOH) bears national responsibility for ensuring the health of the population of Israel. Israel The Ministry of Health (MOH) bears national responsibility for ensuring the health of the population of Israel. Contact Details Ministry of Health 39 Yirmiyahu St Jerusalem Israel Website: https://www.health.gov.il/English/Pages/HomePage.aspx Email: Dr Yael Applbaum yael.applbaum@moh.health.gov.il ; Dr. Barbara Silverman barbara.silverman@moh.gov.il Appointed Representatives General Assembly: Dr. Boaz Lev, Ombudsman for Medical Professions, Israel Health Ministry Member Forum: Dr. Yael Applbaum, Director, Health Information Quality, Israel Health Ministry News articles It also determines the policy on matters of medical services, supervision, auditing, control, licensing and coordination of the health systems and services. Policy is based on health information that is gathered routinely from all health services. Data is the building block for policy decisions and the Health Ministry is investing much effort in data sharing, in big data and in digital health across all healthcare services. While the strategic decision to adopt SNOMED CT as the health system's clinical terminology was taken in 2012, when Israel joined as a member, the implementation method and timing has not yet been determined. This is because plans to implement SNOMED were linked to strategic decisions regarding the upgrading of the ICD coding system in a joint project. There are no plans to translate SNOMED into Hebrew, as medical diagnoses are written in English in all electronic health records. More information about SNOMED CT in Israel can be accessed here: https://www.health.gov.il/English/Pages/HomePage.aspx Back Learn more Global Patient Set Built from the globally recognized SNOMED CT terminology standard at no cost to users Learn more Get SNOMED CT Information about our license and fee structure Learn more Software and tools We develop and operate applications platforms to support our products and services Learn more Document library Access overviews, guides and specifications Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

Ireland joined as a Member in November 2016 after an extensive consultation process, which included a report from the Health Information and Quality Authority (HIQA). Ireland Ireland joined as a Member in November 2016 after an extensive consultation process, which included a report from the Health Information and Quality Authority (HIQA). Contact Details Department of Health / eHealth Ireland High Street House, Wilton, Cork Ireland Eircode T12 E722 Website: http://www.ehealthireland.ie/ Email: snomed@hse.ie Appointed Representatives General Assembly: Niall Sinnott, Department of Health Member Forum: Theresa Barry News articles The report identified the adoption of a standard terminology such as SNOMED CT as essential to the implementation of the national Irish eHealth Strategy, as well as the risks associated with not adopting SNOMED CT. More information about SNOMED CT in Ireland can be accessed here: http://www.ehealthireland.ie/ Back Learn more Global Patient Set Built from the globally recognized SNOMED CT terminology standard at no cost to users Learn more Get SNOMED CT Information about our license and fee structure Learn more Software and tools We develop and operate applications platforms to support our products and services Learn more Document library Access overviews, guides and specifications Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

Achieving the benefits of semantic interoperability and meaningful primary and secondary use of clinical data requires high-quality, up-to-date SNOMED CT-coded documentation by clinicians at the source. Despite technical implementation of SNOMED CT in EHRs, real-world adoption remains limited due to a lack of clinical engagement, insufficient knowledge of SNOMED CT's benefits, and the absence of user-friendly tools that support clinicians within their workflow. Clinicians often work in teams, making it challenging to maintain and coordinate accurate, hospital-wide problem lists. This project, funded by the Belgian Federal Public Health Service, aims to address these challenges by developing an EHR-agnostic, AI-powered Clinical Documentation Improvement tool. The tool identifies relevant changes (deltas) between existing SNOMED CT-coded problem lists and new clinical findings extracted from discharge or referral letters. Using natural language processing, the system detects diagnoses and procedures in free-text letter conclusions, compares them with the existing problem list, and proposes updates for clinician validation. Validated items are then automatically added, replaced, or refined in the existing structured problem list. The project includes a manual annotation phase, an LLM training phase, and a proof-of-concept evaluating model performance. A clinician-facing interface supports validation, offering options to accept, reject, replace, or merge proposed entries. This setup ensures that problem list maintenance occurs at a clinically optimal moment‚Äîwhen the physician has just summarized the patient's case and has a clear and complete view of the patient's current status, improving accuracy, completeness, and currency of structured SNOMED CT documentation for better care and secondary data use. Back View Map Ziekenhuis Aan De Stroom (2 of 2) Closing the Gap Between Narrative and Structure: A Workflow-Integrated Documentation Improvement Tool for Enhancing SNOMED CT-Coded Problem Lists in Hospital Practice. Read More Country / Region EMEA Tags Artificial intelligence, Data quality, EHDS (European Health Data Space), Innovation, Tooling Achieving the benefits of semantic interoperability and meaningful primary and secondary use of clinical data requires high-quality, up-to-date SNOMED CT-coded documentation by clinicians at the source. Despite technical implementation of SNOMED CT in EHRs, real-world adoption remains limited due to a lack of clinical engagement, insufficient knowledge of SNOMED CT's benefits, and the absence of user-friendly tools that support clinicians within their workflow. Clinicians often work in teams, making it challenging to maintain and coordinate accurate, hospital-wide problem lists. This project, funded by the Belgian Federal Public Health Service, aims to address these challenges by developing an EHR-agnostic, AI-powered Clinical Documentation Improvement tool. The tool identifies relevant changes (deltas) between existing SNOMED CT-coded problem lists and new clinical findings extracted from discharge or referral letters. Using natural language processing, the system detects diagnoses and procedures in free-text letter conclusions, compares them with the existing problem list, and proposes updates for clinician validation. Validated items are then automatically added, replaced, or refined in the existing structured problem list. The project includes a manual annotation phase, an LLM training phase, and a proof-of-concept evaluating model performance. A clinician-facing interface supports validation, offering options to accept, reject, replace, or merge proposed entries. This setup ensures that problem list maintenance occurs at a clinically optimal moment‚Äîwhen the physician has just summarized the patient's case and has a clear and complete view of the patient's current status, improving accuracy, completeness, and currency of structured SNOMED CT documentation for better care and secondary data use. Description The foundation for the benefits of semantic interoperability and meaningful primary and secondary use of SNOMED CT-coded clinical data lies in high-quality, up-to-date documentation at the source by clinicians. In reality, however, there are multiple reasons why this proves challenging in many hospitals, even when SNOMED CT has been technically implemented in their electronic health record (EHR) systems. Contributing factors include lack of awareness about the capabilities and benefits of SNOMED CT, and the still underrealized value of semantically structured data resulting in limited clinical buy-in ("what's in it for me?"). A particularly important barrier is the lack of solutions that both empower clinicians to manage registration effectively and simultaneously reduce their administrative burden through user-friendly interfaces. Given that clinicians spend up to 40% of their time on administrative and registration tasks, there is a pressing need for real-time, AI-powered Clinical Documentation Improvement (AI-CDI) tools that seamlessly integrate into natural workflow points, enabling more efficient and accurate documentation. Clinicians often work in multidisciplinary teams around a patient, making the maintenance and updating of (often complex) hospital-wide problem lists a continuous and coordination-intensive task. In practice, this process frequently falters. The scope of the current project (funded by the Belgian Federal Public Service of Health) is to develop an EHR-agnostic AI-CDI tool that helps to maintain the accuracy and completeness of SNOMED CT-coded problem lists. The tool is trained to detect diagnoses, history elements, and procedures in free-text conclusions of discharge or referral letters. It compares this information with the existing problem list to identify deltas‚ relevant changes which are then presented to the clinician for validation. Once confirmed, the tool automatically adds, updates, or replaces entries in the problem list (e.g., when a diagnosis has been refined and a more granular concept should be used). A key strength of this design lies in its integration into the clinical workflow: the moment the clinician is prompted to validate the delta coincides with the moment they have just mentally consolidated the patient's condition, as they've just written the conclusion of the letter. The project includes a manual annotation phase (where clinicians identify deltas between conclusions and problem lists), a Large Language Model (LLM) training phase, and a proof-of-concept phase in which clinicians assess the model's performance in identifying deltas in new cases. The project also delivers a user interface that supports validation, enabling the clinician to accept, reject, or replace proposed delta entries. Ultimately, the goal is to improve the quality, completeness, and currentnessof a centrally maintained, SNOMED CT-coded problem list at the hospital level. Scope The choice to use SNOMED CT in this project is deliberate and strategic. As of January 1st, 2029, Belgian hospitals will be required to record diagnoses, medical history and procedures in a structured manner within the EHR, using SNOMED CT. This project develops a practical tool to support hospitals and clinicians in meeting that requirement. The choice to use SNOMED CT in this project aligns with the Belgian government's strategic vision, as outlined in the National eHealth Action Plan, the 2025-2028 policy declaration, and the Minister of Health's position paper. These documents identify the implementation of SNOMED CT as the standard clinical terminology in healthcare information systems as essential to enabling semantic interoperability and meaningful data exchange both for primary use (such as clinical decision support and evidence-based practice) and secondary use (public health, policy-making, and clinical research). Moreover, the decision to adopt SNOMED CT is consistent with the goals and timeline of the European Health Data Space (EHDS) Regulation, which positions SNOMED CT as a key semantic standard for cross-border health data exchange and reuse within the EU. How SNOMED CT will be used This project builds upon the core principle that SNOMED CT serves as the central terminology standard for structuring and maintaining the hospital-wide problem list within the electronic health record (EHR). The aim is to ensure that diagnoses, relevant history, and procedures are recorded in a semantically interoperable manner. The project specifically targets improvements in the accuracy, completeness, and currentness of SNOMED CT-coded problem lists by introducing a real-time, AI-powered Clinical Documentation Improvement (AI-CDI) tool. This tool extracts clinical information from the free-text conclusions of discharge and referral letters and compares it to the existing SNOMED CT-coded problem list. It identifies "deltas"‚relevant new or updated problem entries, based on underlying SNOMED CT concepts.Once validated, these delta (SNOMED CT) concepts are automatically added to or used to update/replace entries in the structured problem list. This approach ensures that SNOMED CT is not merely a passive coding standard but is actively leveraged to enhance the semantic quality of clinical data and maintain longitudinal continuity across care episodes. Why SNOMED CT will be used Contact More information Learn more Get SNOMED CT Information about our license and fee structure Learn more Learn more Explore the wide range of resources available to our community of practice Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

SNOMED International and the European Directorate for the Quality of Medicines & HealthCare (EDQM), Council of Europe, have signed an agreement... SNOMED and the EDQM collaborate on map development SNOMED International and the European Directorate for the Quality of Medicines & HealthCare (EDQM), Council of Europe, have signed an agreement... Back 31 Jan 2023 Back Strasbourg, France, and London, United Kingdom -- SNOMED International and the European Directorate for the Quality of Medicines & HealthCare (EDQM), Council of Europe, have signed an agreement governing the creation, maintenance and distribution of a map between both organisations’ terminologies. The agreement came into effect in September 2022. SNOMED CT is a comprehensive, multilingual healthcare terminology created for use by healthcare professionals to capture the care of individuals in an electronic health record and facilitate sharing, decision support and analytics, to support safe and effective health information exchange. The EDQM Standard Terms database contains a set of concepts used in defining and describing medicinal products, including the pharmaceutical dose form (i.e. the dosage form), route or method of administration, and certain important packaging items such as the container, closure and administration device. They are designed for use in marketing authorisation applications, medicinal product labelling (including the summary of product characteristics) and in electronic communications about medicines, as well as for related purposes such as adverse event reporting (pharmacovigilance) and clinical trials. The agreement resulted from the need identified by SNOMED International’s Drug Extension User Support Group to align EDQM Standard Terms and SNOMED CT dose forms to serve specific use cases. It will focus on putting in place mechanisms for the release, maintenance and updating of the mapping between the lists of controlled terms in the EDQM Standard Terms database and the equivalent lists in SNOMED CT. The alpha release of the EDQM Standard Terms to SNOMED CT map package for dose forms was made available by SNOMED International in early January 2023. A spreadsheet format has also been made available for those who want to review the map. Feedback received from the alpha release will be incorporated into the Production release of the map package in Q2 of 2023, followed by annual releases . Both organisations will review the conditions of the agreement every five years. They will also ensure that the quality of the map being created under the agreement meets the needs of stakeholders, and will put in place plans to distribute, maintain and update it. Additionally, any new content that is needed to create the map will be included in regular SNOMED CT International Edition releases and made available by both parties. As the work develops, both organisations may also propose future collaborative activities based on emerging requirements in the European Union or elsewhere. “We are excited about the opportunities this agreement enables to link information required for drug regulation using EDQM Standard Terms database with information captured as part of care using SNOMED CT,” said SNOMED International CEO Don Sweete. “Such an approach is a giant step in the right direction – toward seamless interoperability – and it promises enormous benefits to patient safety and healthcare delivery.” Petra Doerr, EDQM Director, stated on this occasion, “The EDQM is committed to providing quality standards for the safe use of medicines. Communicating information about medicinal products in a harmonised and understandable way is an important part of this.” She further affirmed that this mapping exercise is an important step toward improving communication between stakeholders, and complements the global implementation of the IDMP (Identification of Medicinal Products) project. About the EDQM The EDQM is a directorate of the Council of Europe , an international organisation working to promote human rights, democracy and the rule of law on the European continent and beyond. The EDQM works to protect public health by enabling the development, supporting the implementation and monitoring the application of quality standards for safe medicines and their safe use, which are recognised as a scientific benchmark and applied worldwide. About SNOMED International SNOMED International is a not-for-profit organisation that owns and develops SNOMED CT, the world's most comprehensive healthcare terminology product. We play an essential role in improving the health of humankind by determining standards for a codified language that represents groups of clinical terms. This enables healthcare information to be exchanged globally for the benefit of patients and other stakeholders. We are committed to the rigorous evolution of our products and services, to deliver continuous innovation for the global healthcare community. SNOMED International is the trading name of the International Health Terminology Standards Development Organisation. www.snomed.org Media inquiries Evangelos Tasopoulos EDQM, Conseil de l’Europe E-mail: evangelos.tasopoulos@edqm.eu Kelly Kuru SNOMED International E-mail: comms@snomed.org Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

Change or add to SNOMED CT SNOMED CT is a growing, evolving product. Here you can learn about how you can help contribute to making it even stronger. SNOMED CT Content Request Service SNOMED International coordinates requests for additions or changes to SNOMED CT through its Members' National Release Centers (NRCs). For more information about the processes in each country/territory, please access the relevant Member page. Members' NRCs and other authorized users submit requests for additions or changes via the SNOMED CT Content Request Service (CRS). Requests that meet inclusion criteria for the International Release are addressed by SNOMED International staff. If a request is declined, a reason and explanation is provided to the requester, who may choose to appeal the decision to the Head of Terminology. More about the Content Request Service Guidance information for requesting changes to SNOMED CT This E-Learning presentation covers the processes, criteria and considerations for creating good quality request submissions Customer Guidance PRESENTATION: Making a request submission Navigating SNOMED International Support: Freshdesk vs. CRS Request submission dates SNOMED International is now accepting request submissions to be considered for inclusion by the January 2027 SNOMED CT International Edition release. Request submissions received between 16 April 2026 and 13 October 2026 inclusive will be reviewed for inclusion in a monthly release in or before the January 2027 International Edition release. Namespace identifiers If you are interested in creating your own content or extension, you will need a Namespace Identifier so your content can be associated with you. Namespace application form To get a Namespace Identifier, please fill out a Namespace Identifier Application Form and email it to info@snomed.org . Access the Allocation Policy Access the registry Learn more Events Annual Business Meetings, Expo, and SNOMED CT Web Series Learn more Learn more Explore the wide range of resources available to our community of practice Learn more Get involved Find out how you can get involved Learn more Resources Explore our many resources for SNOMED CT stakeholders Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe Content Request Service Submission Guidance Request submission dates Namespace identifiers