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- SNOMED International embraces collaborative authoring
SNOMED International embraces collaborative authoring Back 29 Jul 2022 Back Dr. James Case At the last April 2022 business meetings, SNOMED International staff, along with its governance bodies and community of practice, gathered in London to learn about the latest SNOMED CT/SNOMED International advances. One of the topics of particular interest to many in the audience (and beyond) focused on the organization’s efforts over the past year to engage and support those who would like to contribute content to SNOMED CT. As SNOMED CT evolves and matures, and as the organization works to become more agile and responsive to community needs, it has taken a number of big steps over the past year in the delivery and development of its products. That includes making the SNOMED CT International Edition available on a monthly basis (frequent releases) and making it easier for users to contribute to it. The following Q&A with Dr. James Case, SNOMED International’s Chief Terminologist, explores these initiatives and their impact on SNOMED CT and its user community. Q: Historically, how has SNOMED CT content been authored and by whom? JC: Content changes to SNOMED CT have most often been handled by the SNOMED CT content team, a group of clinical professionals with extensive knowledge and expertise in the editorial rules governing the curation of SNOMED CT. They are also very skilled in content development tooling, which provides the authoring platform, as well as enforcing the technical rules that provide the quality assurance for SNOMED CT content. Q: What are all the ways people outside of SNOMED International can now contribute to SNOMED CT? JC: Member countries as well as affiliates both within and outside of Member countries can apply for an extension namespace that allows for external development (i.e. outside of the international release) of SNOMED CT content. This extension content can be requested to be promoted to the international release if it is deemed to be of international relevance. The community content area is a new aspect of SNOMED that provides a mechanism for Members to contribute content to SNOMED CT that is not an official part of the international release, but can be made visible to users who might want to use that content in their systems. However, that content does not go through the same quality assurance process that the content in the international release does, so it should be used with caution. Certified external authors are those that have fulfilled the educational requirements and demonstrated skills that would allow them to be approved to edit content directly in the International release of SNOMED CT. We have a number of individuals external to SNOMED International staff who have been approved to do this type of authoring. As they are not members of SNOMED International staff, they collaborate with the SNOMED CT content team to provide authoring support. Thus, an external author is what one is and collaborative authoring is what they do. Q: How do you define each of those terms and how do they interrelate? JC: National extensions are independently managed and curated sets of SNOMED CT content that “extend” the scope of the international release to meet specific needs of the affiliate (i.e., Member country, healthcare organization, individual needs). They are dependent on the international release for analytical use and should conform to SNOMED International editorial guidance. Community content is a function provided by SNOMED International to allow content that has not been approved by the SNOMED content team to be made visible to the public. This provides a way for SNOMED CT users to “preview” content that may be promoted to the International release or has limited or highly specific use. As mentioned above, a certified external author is an individual who has fulfilled the educational and practical requirements for authoring in the international release. Any work being done by these individuals is overseen by a member of the SNOMED International content team. Collaborative authoring is the process of increasing the available editing resources of SNOMED International by cooperative work between an external author and a SNOMED International content team member. This results in the SNOMED authors playing mostly a quality assurance role as opposed to a primarily content development role. Q: Why is SNOMED International taking the approach of inviting qualified external authors (SNOMED CT International Edition) and content contributors (Community Content Area) in the content development process? JC: As SNOMED International grows and adds new members, there is increasing pressure on the content team to add and improve the existing content of SNOMED CT. This has forced the content team to prioritize content development based primarily on the strategic plan and input from the Member Forum. This sometimes places content development urgently needed by a Member at a lower priority than they would prefer. If that Member country had a certified external author, they may offer to do the content development themselves, thus speeding up the process of getting new content into SNOMED CT. With regards to the community content area, some content as originally presented to SNOMED CT does not meet the inclusion criteria for the international release, or is not fully developed according to SNOMED CT editorial guidelines. The community content area allows for this content to be made visible to the SNOMED CT community of practice to determine if it has sufficient usefulness to be considered for inclusion in the international release as well as helping to refine its content model to meet SNOMED CT editorial requirements. Q: What does this mean for our community of practice? JC: In general, this means that the community of practice can have a more active role in the development of SNOMED CT content, both in the direct enhancement of content in the international release and in the addition of content via the community area to determine the overall usefulness of content that would not normally be added to the international release (such as specific administrative concepts). It also allows for those with specific domain expertise to assist SNOMED International in improving existing content to conform to current clinical practice. Q: If we’re speaking about the SNOMED CT International Edition, what do you need to do to become a SNOMED CT certified external author? What are the educational requirements and what is the path external authors typically take? JC: The requirements to become a certified external author are described in the requirements document recently approved by the SNOMED Senior Management Team. In general, completion of the SNOMED Authoring level 1 and 2 courses are the primary educational requirements followed by successfully passing the certification exams. Once those are completed, an individual can submit a request to SNOMED to be considered for approval as a certified external author. Once approved, the external author will go through an initial evaluation period to determine if their knowledge and skills are sufficient to author in the international release. External authors will only be allowed to author in areas approved by the SNOMED CT content team, based on an authoring project submitted in advance by the external author or developed by the SNOMED Content team. Q: If we’re speaking about SNOMED International’s Community Content area, what resources are we making available to content contributors to ensure they are qualified and supported? JC: All of SNOMED International’s elearning courses are available online and will help anyone who wants to contribute to learn about the tools that are used in the Community Content area and to understand the authoring level expected for contributors. Once contributors are suitably qualified, the authoring platform used in the Community Content area adds another level of quality assurance and checking to ensure that content meets the high standards that SNOMED CT is known for. Q: Are there any particular areas that collaborative content authors are currently focusing on, or that we would like them to focus on, such as social care? JC: Currently we have collaborative authors working in the area of cancer synoptic reporting and mental health as well as a long-standing effort to incorporate the Kaiser Permanente Convergent Medical Terminology. Our primary goal was to provide a mechanism for members who would like to speed up the addition of content that they are particularly interested in, so our intention is to let the Member needs drive the areas where collaborative editing would be of most benefit to them. Q: What has been the uptake to date? Have we faced or do we anticipate any particular challenges in expanding our pool of collaborative authors, and if so, how will we approach them? JC: As this is a relatively recent area for SNOMED, there have not been any new requests for approval as an external author. We anticipate that as more people complete the authoring level 2 certification exam, we will be receiving requests for approval as external authors. As we increase the pool of people who have completed the requirements, we will reach out to those who have particular domain knowledge needed by SNOMED. The particular challenges related to this are the same as for any volunteer program, i.e., can the external authors find sufficient time to complete specific content development projects within appropriate timelines. Q: Is there any one message to our community of practice that you would like to share related to these opportunities? How do you think this will impact content development and authoring? JC: We would certainly encourage those who have successfully completed the authoring certification exams and are interested in assisting SNOMED International with content development to contact us with specific areas of content development they see needing improvement. The primary impact to content development will be a mechanism for user-based content priorities to be addressed in a more rapid manner. The secondary impact will be on the SNOMED Content Team itself, with more emphasis on quality assurance of content developed by external authors, rather than the full content development cycle. Questions about collaborative authoring and community content? Contact info@snomed.org Have a comment about this post? We’d love to hear from you. Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe
- grand-hopital-de-charleroi
Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous cancer, with 30 to 40% of patients experiencing early relapse or being refractory to standard treatment. This project, conducted within the artificial intelligence laboratory (LAB-AI), aims to structure the care pathways of DLBCL patients to train AI algorithms for the early detection of primary refractory disease. Semantic quality, interoperability, and structured clinical data are essential, with SNOMED CT playing a central role. This standardized terminology enables precise representation of medical concepts, supporting integration into relational databases and FHIR resources, and ensuring reliable use by AI. SNOMED CT also fosters transparency, traceability, and explainability (e.g., with LIME), aligning the project with TRIPOD+AI guidelines. Moreover, it supports large-scale interoperability, which is key to advancing precision medicine through standardized, reliable, and explainable data. Back View Map Grand Hôpital De Charleroi Leveraging SNOMED CT for Semantic Structuring of Hematological Data in a Predictive Model for Primary Refractory Diffuse Large B-Cell Lymphoma Read More Country / Region EMEA Tags Artificial intelligence, Clinical Practice, Research Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous cancer, with 30 to 40% of patients experiencing early relapse or being refractory to standard treatment. This project, conducted within the artificial intelligence laboratory (LAB-AI), aims to structure the care pathways of DLBCL patients to train AI algorithms for the early detection of primary refractory disease. Semantic quality, interoperability, and structured clinical data are essential, with SNOMED CT playing a central role. This standardized terminology enables precise representation of medical concepts, supporting integration into relational databases and FHIR resources, and ensuring reliable use by AI. SNOMED CT also fosters transparency, traceability, and explainability (e.g., with LIME), aligning the project with TRIPOD+AI guidelines. Moreover, it supports large-scale interoperability, which is key to advancing precision medicine through standardized, reliable, and explainable data. Description Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma in adults and is characterized by significant clinical and biological heterogeneity. Despite a standardized first-line treatment, 30 to 40% of patients experience early relapse or are refractory to treatment, resulting in a poor prognosis. The development of predictive tools based on artificial intelligence (AI) to rapidly identify these cases is a major challenge in personalized medicine, especially given the effectiveness of second-line immunotherapy. This project, conducted as part of an internship within the artificial intelligence laboratory (LAB-AI), aims to structure the care pathways of patients with DLBCL in order to train algorithms for the early detection of primary refractory disease to chemotherapy. To achieve this, structuring, interoperability, and semantic quality of clinical data are essential components. Scope SNOMED CT was chosen because it provides precise and unambiguous coding of clinical concepts. It ensures semantic interoperability across different data sources like EHRs, labs, and imaging systems. Its compatibility with FHIR makes data integration easier and more standardized. SNOMED CT also supports traceability and explainability, which are essential for ethical AI development. Finally, it is internationally recognized and widely adopted, making it a sustainable choice for large-scale and long-term projects. How SNOMED CT will be used In this project, SNOMED CT is used as a standardized clinical terminology to structure and harmonize data from various sources, such as electronic health records, registries, laboratories, and imaging systems. It enables the precise and unambiguous representation of key medical concepts, including patient characteristics, features of DLBCL, adverse events, treatment responses, and follow-up information. By encoding each data point with a unique SNOMED CT concept, the project ensures semantic interoperability and facilitates the integration of data into FHIR resources and relational databases. This standardized approach not only supports the reliable use of data by AI algorithms but also enhances transparency and traceability, which are essential for explainability using tools like LIME. Furthermore, the use of SNOMED CT aligns the project with international recommendations such as TRIPOD+AI, promoting ethical, reproducible, and robust predictive modeling. Finally, it enables large-scale data sharing and interoperability, paving the way for broader applications in precision medicine. 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-centre-malaysia-1-of-2
This framework presents a systematic approach for nationwide laboratory data standardisation, demonstrated through the Ministry of Health's (MOH) implementation of LOINC and SNOMED CT. The methodology provides a structured pathway to bridge interoperability gaps across diverse healthcare facilities regardless of existing Laboratory Information Systems (LIS). By establishing the model for terminology integration, this framework transforms fragmented clinical data into cohesive information that enables analytics capabilities, enhances diagnostic precision, and supports evidence-based decision-making applicable to various healthcare environments Back View Map Health Informatics Centre, Malaysia (1 of 2) A Comprehensive Framework for LOINC and SNOMED CT Implementation in Integrated Laboratory Information Systems Read More Country / Region APAC Tags Implementation This framework presents a systematic approach for nationwide laboratory data standardisation, demonstrated through the Ministry of Health's (MOH) implementation of LOINC and SNOMED CT. The methodology provides a structured pathway to bridge interoperability gaps across diverse healthcare facilities regardless of existing Laboratory Information Systems (LIS). By establishing the model for terminology integration, this framework transforms fragmented clinical data into cohesive information that enables analytics capabilities, enhances diagnostic precision, and supports evidence-based decision-making applicable to various healthcare environments Description The MOH's systematic implementation of LOINC and SNOMED CT extends across its healthcare infrastructure, covering 138 hospitals, 11 specialised institutions, and 1,095 clinics. The initiative resolves critical interoperability barriers caused by heterogeneous LIS with proprietary coding. This implementation framework incorporates comprehensive mapping of legacy codes to international standards and standardised reporting templates for unstructured data and enabling data exchange across previously siloed healthcare environments. Scope SNOMED CT was selected for its comprehensive semantic framework to complement LOINC in pathology reporting. Where LOINC excels at identifying standardised laboratory tests, SNOMED CT provides rich expressiveness for encoding complex pathological findings, morphological abnormalities, and qualitative interpretations. Its post-coordination mechanisms enable precise representation of anatomical sites and pathological grading. The synergy between these terminologies supports anatomic pathology reporting and interoperability required for laboratory information exchange between MOH hospitals and clinics. How SNOMED CT will be used SNOMED CT serves as the primary terminology for encoding nuanced laboratory results, including qualitative findings, morphological abnormalities, and interpretative statements. Its hierarchical structure and post-coordination capabilities enable precise representation of clinical context, anatomical sites, and pathological grading information. This complements LOINC's function in standardised test identification, creating a comprehensive semantic framework supporting data exchange, aggregation, and analysis for complex data such as anatomic pathology reports and site-specific diagnostic findings. 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 in Action gets an upgrade
SNOMED in Action gets an upgrade Back 23 Nov 2015 Back As part of IHTSDO's aim to facilitate information sharing about the usage of SNOMED CT globally, we have upgraded our website http://www.snomedinaction.org . The website allows SNOMED CT users to share with the wider community their work, their experiences, and their motivations for using SNOMED CT. The updated website makes it easier to track, search and find the SNOMED CT use cases that interests you. It also makes it easier to upload your own use cases and to add and update data over time. We hope it will be an excellent platform for sharing and learning. Moving forward, one new post on SNOMED in Action will be highlighted in each edition of our quarterly newsletter. If you have any questions please contact info@ihtsdo.org . Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe
- Western Cape Government strengthens the future of patient health information exchange
Western Cape Government strengthens the future of patient health information exchange Back 25 Aug 2022 Back The Western Cape Government is the first regional member on the African continent to adopt the use of SNOMED CT, the most comprehensive global clinical terminology. Adoption of SNOMED CT in Western Cape will enable health information exchange between the region’s participating medical institutions, in addition to satisfying requirements of the 2014 National Health Normative Standards Framework. The Western Cape is the third largest populated province in South Africa after Gauteng and KwaZulu-Natal, with a population of approximately 7 million. The Information and Communication Technology (ICT) capability of the Western Cape Department of Health was a major game changer in the fight against COVID-19. The ICT-related lessons from the last three years will be leveraged to do business differently, including improving access to care beyond the walls of our health facilities, and to address the quadruple burden of disease. In 2019, an electronic health record (EHR) roadmap developed in the Western Cape Province determined terminological mapping services as a priority element of an interoperable EHR. In 2020, Western Cape Government: Health and Wellness successfully procured mapping services to improve the user experience of front-line clinical staff when they electronically capture patient clinical data. To make full use of procured terminological services and ensure an interoperable future, in July 2022, the Western Cape Government entered into the first regional membership agreement for the use of SNOMED CT on the African continent. This regional membership with SNOMED International extends SNOMED CT to all Western Cape health facilities, public and private, while at the same time benefiting from the ongoing maintenance and evolution of SNOMED CT. Specifically, planned use of SNOMED CT includes use within the Clinical Interface Terminology Service accessible through the patient administration and clinical system across the public health hospitals in Western Cape, as well as use within primary care health facilities and the private sector as it relates to the provisioning of healthcare services. SNOMED CT is the world’s most comprehensive health terminology. Founded in 2007 by nine charter nations, SNOMED International is a not-for-profit, member-owned and driven international organization that has grown to serve 43 Member countries. A resource with comprehensive, scientifically validated clinical content, SNOMED CT enables the consistent representation of clinical content in EHRs. SNOMED CT is mapped to many other international standards and enables clinicians to record data with enhanced accuracy and consistency, supported by an active and engaged community of practice. According to Dr Krish Vallabhjee, Chief Director of the Western Cape Government: Health and Wellness department’s Strategic Cluster, “The Department is making steady progress towards building an electronic health record through multiple inter-operable systems. Our membership of SNOMED and access to its clinical terminology service is a major step up on this journey, that will enable, improve, and simplify the uptake and accuracy of our clinical patient records and more specifically coding patient encounters. Accurate coding is an essential pre-requisite to development of diagnostic related groups (DRGs) and costing/resource allocation to services on the path to University Health Coverage. There will be an onboarding process unfolding in the next few months.” SNOMED International CEO, Don Sweete extends an energetic welcome to SNOMED International’s newest regional membership, Western Cape. “The SNOMED International organization and broader Community of Practice welcomes Western Cape to our growing network,” Don said. “We are excited that the benefits of SNOMED CT will be extended throughout Western Cape and we look forward to supporting and exploring this model of regional membership. We know the implementation and integration of SNOMED CT into the EHR will contribute to greater interoperability and therefore improved patient service and health outcomes.” Visit here to learn more about Western Cape Government and their EHR roadmap. To learn more about how SNOMED CT can enable achievement of digital health priorities, visitwww.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
- ghent-university-2-of-2
Ghent University, commissioned by the Belgian government, is mapping SNOMED CT to the WHO's International Classification of Functioning, Disability and Health (ICF) to improve semantic interoperability in healthcare data. Using low back pain as a representative case due to its widespread impact, the project seeks to align SNOMED CT concepts with ICF categories and the qualifiers through a combination of automated tools and expert review. This integration aims to support more comprehensive, person-centered clinical documentation and enhance the use of functional health data in care planning, decision-making, and outcome evaluation. Ultimately, the effort contributes to global initiatives promoting interoperable, biopsychosocial health information systems. Back View Map Ghent University (2 of 2) Mapping SNOMED CT to the WHO International Classification of Functioning, Disability and Health (ICF): A use case on low back pain Read More Country / Region EMEA Tags Implementation, Mapping, Research Ghent University, commissioned by the Belgian government, is mapping SNOMED CT to the WHO's International Classification of Functioning, Disability and Health (ICF) to improve semantic interoperability in healthcare data. Using low back pain as a representative case due to its widespread impact, the project seeks to align SNOMED CT concepts with ICF categories and the qualifiers through a combination of automated tools and expert review. This integration aims to support more comprehensive, person-centered clinical documentation and enhance the use of functional health data in care planning, decision-making, and outcome evaluation. Ultimately, the effort contributes to global initiatives promoting interoperable, biopsychosocial health information systems. Description The scope of this project involves mapping SNOMED CT, a comprehensive clinical terminology, to the WHO's International Classification of Functioning, Disability and Health (ICF) in order to enhance semantic interoperability between clinical and functional health information systems. Focused on the use case of low back pain (LBP), the project aims to align relevant SNOMED CT concepts such as clinical findings, procedures, and interventions, with corresponding ICF categories, including body functions, activities and participation, and environmental factors. The work includes both automated and expert-driven methods, with the ultimate goal of enabling the integrated use of SNOMED CT and ICF in clinical documentation, electronic health records, and health information exchange. This integration supports more holistic, person-centered care by incorporating functioning and participation data into clinical decision-making and outcome evaluation. Scope SNOMED CT was chosen as the reference terminology due to its comprehensive coverage of healthcare intervention concepts and its robust ontological structure, which supports the use of constraint languages to navigate domain scopes, hierarchies, semantic tags, and attributes. Additionally, it has been designated by the Belgian Government as a key component in the national e-Health digital transformation strategy. How SNOMED CT will be used We focused on samples of SNOMED CT concepts, relevant for each selected category of the ICF. SNOMED CT is used to identify and represent clinical concepts related to low back pain, such as findings, procedures, and interventions. 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
- Uruguay
During 2017 Uruguay continued advancing in the implementation of the National Electronic Health Record (NEHR) project. Uruguay During 2017 Uruguay continued advancing in the implementation of the National Electronic Health Record (NEHR) project. Contact Details Centro de Servicios de Salud - NRC Liniers 1324, Piso 3 11000 Montevideo, Uruguay Website: https://centrodeconocimiento.agesic.gub.uy/web/salud.uy/terminología Email: snomed@hcen.salud.uy Appointed Representatives General Assembly: Rossana Occhiuzzi Member Forum: Silvana Cabrera and Betania Arispe News articles The first documents were loaded in the NEHR by institutions with the support of the Ministry of Health. The semantic definitions for the documents of the Minimum Data Set are based on SNOMED CT. This documents use some concepts that exist in SNOMED CT International and others that belong to the Uruguayan National Extension. Another important project for Uruguay is the DNMA (Dictionary of Medicines and other prescribable products). The first version was released with of a big effort done toghether with the Ministry of Health, with the aim of working in the e-prescription project for the next years, and based on SNOMED CT terminology. Besides of that, our NRC team continues to train Healthcare providers staff, joining with national universities and developing community work with the proposal to increase the use and knowledge of SNOMED CT in our country. More information about SNOMED CT in Uruguay can be accessed here: https://centrodeconocimiento.agesic.gub.uy/web/salud.uy/terminología Affiliated licenses can be obtained at https://mlds.ihtsdotools.org/#/landing/UY?lang=es 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
- Software and tools | SNOMED International
SNOMED International offers a wide range of software and tools to use and work with SNOMED CT, as well as supporting a growing community of developers. Technologies Our strategic focus on emerging technologies ensures SNOMED CT both evolves and informs AI, large language models, and next-generation health systems — keeping it relevant, scalable, and fit for modern healthcare. AI in Clinical Terminology: SNOMED International's Position SNOMED International's position statement makes the case that AI in healthcare is only safe when its outputs are constrained and governed by verified clinical terminology — and outlines guiding principles and internal AI initiatives through which SNOMED CT serves as that essential guardrail. Learn More Entity Linking SNOMED International, in collaboration with Data Driven, has developed an Entity Linking Challenge and Benchmark to advance the automatic mapping of unstructured clinical text to verified SNOMED CT concepts — setting a shared, validated standard against which AI and NLP systems can be rigorously tested and compared. Learn about the Entity Linking Challenge Learn about the AI Benchmark Translation Tooling The goal of developing AI-enabled translation tools is to accelerate the localisation of SNOMED CT into low-resource languages, allowing member countries to produce accurate, concept-anchored translations at scale — without compromising the clinical precision that safe implementation demands. Learn More Internal Impacts of AI As SNOMED CT grows in size and complexity, AI-assisted quality assurance offers a powerful way to help terminologists manage increasing workloads — automating the detection of issues, generating tasks directly, and ultimately supporting the concept modelling process itself. Learn More Join the Conversation Join SNOMED International's Technology & Software community Forum and be part of the discussion. Learn More Learn more News Read our latest news, newsletters and events Learn more Document library Access overviews, guides and specifications Learn more Vendors SNOMED CT enables digital health solutions with the gold standard in clinical terminology Learn more Education Our education program is designed to enable users to maximize their knowledge of SNOMED CT Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe AI in Clinical Terminology Entity Linking Translation Tooling Internal Impacts of AI Join the Conversation
- New collaboration agreement between SNOMED International and LOINC® from Regenstrief
New collaboration agreement between SNOMED International and LOINC® from Regenstrief Back 27 Oct 2022 Back London, United Kingdom and Indianapolis, Indiana, United States LOINC® from Regenstrief and SNOMED International have signed a new collaboration agreement facilitating the adoption of standardized terminology to support broadened interoperability of health data exchange around the globe with the goal of enhancing and improving the delivery of healthcare. The agreement also paves the way forward for coordinated use of SNOMED CT and LOINC by both SNOMED International and Regenstrief, with each retaining editorial control of its respective standard. In addition to promoting the adoption of practices to facilitate use and interoperability of the terminology standards produced by both organizations, the new agreement targets reduction of current and potential duplication. Serving an increasingly intersecting group of global implementers, the agreement will deliver improved healthcare through standardized terminology and enhanced clinical system interoperability while providing support for providers and users who implement different combinations of both standards. The new agreement lays the foundation for development of a LOINC extension that aligns with the SNOMED CT model, enabling SNOMED International and Regenstrief to distribute LOINC and SNOMED CT content together to their respective users. The extension will create both SNOMED CT and LOINC codes for all concepts that are shared between the terminologies, making it easy for implementers to have a unified approach to implementing both standards and to meet clinical and regulatory requirements globally. The 2022 agreement extends a relationship, inaugurated in 2013, which linked the rich clinical semantics of SNOMED to LOINC concepts enabling the identification, exchange, and collection of data across health systems. The COVID-19 pandemic has highlighted and further emphasized the importance of coordinated standards to support interoperability. Looking to the future, annual planning meetings and dedicated agreement liaisons will maintain open lines of communication between the SNOMED CT and LOINC teams, providing opportunities to discuss joint work products and to explore new collaborations. Owned and governed by 43 global Members, SNOMED International is a not-for-profit organization that is charged with setting global standards for health terminology, a critical element of safe and effective healthcare. 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. LOINC, short for Logical Observation Identifiers Names and Codes, is a worldwide standard, used in 193 countries and available in 20 languages, for identifying health measurements, observations and documents enabling the identification, exchange, and collection of data across health systems. Created and maintained at Regenstrief Institute, the system is free to users. “Opportunities to support robust interoperable health information exchange, nationally and globally, are vital to providing the best quality healthcare,” said Marjorie Rallins, DPM, M.S., executive director of LOINC Health Data Standards. “The strategic and diplomatic value in Regenstrief and SNOMED working together should not be underestimated.” SNOMED International CEO Don Sweete describes the collaboration with LOINC as a major breakthrough. “Globally, our implementers operate in a thriving ecosystem of terminology and messaging standards, breeding a certain element of interdependence.” Sweete goes on to state, “With the aim of easing the challenges for implementers of multiple standards, the agreement with LOINC is one that will go the distance in reducing duplicative efforts, facilitating the path to data sharing and interoperability.” As the agreement is operationalized, both organizations have shared developments and next steps with their communities. Most recently, ambassadors from each organization communicated the nature of the collaboration agreement in more detail at the LOINC Conference, October 24-27 at Les Pensières Center for Global Health in Annecy, France, and the SNOMED CT Expo held in September 2022. For more information on this collaboration, please visit https://www.snomed.org/ and https://loinc.org/ . Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe
- India
In March 2014 India became a Member, joining the global effort to develop, maintain, and enable the use of SNOMED CT terminology to achieve semantic interoperability in health systems. India In March 2014 India became a Member, joining the global effort to develop, maintain, and enable the use of SNOMED CT terminology to achieve semantic interoperability in health systems. Contact Details eHealth Division, MoH&FW Director (e-Health) Ministry of Health and Family Welfare Government of India Nirman Bhawan Maulana Azad Road New Delhi - 110 008 India National Release Center (India) National Resource Centre for EHR Standards (NRCeS) HPC-Medical & Bioinformatics Applications Group C-DAC Innovation Park Panchavati, Pashan Pune - 411 008 India Website: http://www.nrces.in Email: nrc-help@cdac.in Appointed Representatives General Assembly: Madhukar Kumar Bhagat Member Forum: Gaur Sunder (co-chair) and Manisha Mantri News articles National Resource Centre for EHR Standards (NRCeS) set-up by Ministry of Health and Family Welfare (MoH&FW), Govt. of India at Centre for Development of Advanced Computing (C-DAC) Pune represents India at SNOMED International. NRCeS assists in and supports adoption of EHR Standards, including SNOMED CT, in the country. NRCeS provides free tools/SDKs for integration, licenses, and training to build awareness among all stakeholders. More information about SNOMED CT in India can be accessed here: http://www.nrces.in Affiliated licenses can be obtained at https://mlds.ihtsdotools.org/#/landing/IN 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
- Industry conferences | SNOMED International
SNOMED International participates in industry conferences globally each year to share information and updates on the relevance of SNOMED CT. Industry Conferences SNOMED International participates in industry conferences globally each year to share information and updates on the relevance of SNOMED CT Radical Health Festival Helsinki 2026 (Presentation) Helsinki, Finland Learn more FROM 19/01/26 TO 21/01/26 HIMSS Global (Booth) Las Vegas, NV, USA Learn more FROM 09/03/26 TO 12/03/26 SNOMED International April 2026 Business Meetings (Host) Vienna, Austria Learn more FROM 12/04/26 TO 15/04/26 SNOMED CT in Austria (Partner) Vienna, Austria Learn more FROM 16/04/26 TO 16/04/26 Digital Health Forum Mexico City, Mexico Learn more FROM 26/05/26 TO 29/05/26 LOINC Conference (Presentation) Cologne, Germany Learn more FROM 06/10/26 TO 09/10/01 SNOMED International October 2026 Business Meetings (Host) Sydney, Australia Learn more FROM 18/10/26 TO 21/10/26 SNOMED CT Expo 2026 (Host) Sydney, Australia Learn more FROM 21/10/26 TO 23/10/26 AMIA 2026 Annual Symposium Dallas, TX, USA Learn more FROM 07/11/26 TO 11/11/26 SNOMED CT Expo 2026 The SNOMED CT Expo unites clinical terminology SMEs from around the world Learn more Get involved Find out how you can get involved Learn more Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe
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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









