The first release of the SNOMED CT common French translation Back 2 Apr 2020 Back Since the date of issue, this information is now out of date and has been archived. It has been made available for reference. SNOMED CT is a multinational and multilingual terminology equipped with a built-in framework to support the representation of different languages and dialects. The French Translation Project Group is pleased to announce the first release of the SNOMED CT common French translation as the newest addition to this growing collection. Throughout the years, a number of partial French translations have been produced locally by Members including Belgium, Canada, Switzerland, Luxembourg, and by SNOMED CT affiliate, PHAST from France. Another partial translation, known as the “French Starter Set”, had also been produced by the Swiss Hôpitaux Universitaires de Genève on behalf of SNOMED International. In the summer of 2018, the French Translation Project Group was initiated to encourage a more effective French translation process, avoiding redundant work and linguistic discrepancies, and developing an agreed set of global editorial principles. In less than two years, the number of French terms available within the translation has now increased to more than 77,000 including recently translated COVID-19 concepts, closing the gap that structured data can play in French language health care settings. Translation has been accomplished through a mixture of Members and affiliate participation, specifically: Service public fédéral - Santé publique, sécurité de la chaîne alimentaire et environnement - Belgique ( www.health.belgium.be/ ) Inforoute Santé du Canada / Canada Health Infoway ( https://infocentral.infoway-inforoute.ca/en/standards/canadian ) Agence eSanté Luxembourg ( www.esante.lu/portal/fr/ ) eHealth Suisse ( www.e-health-suisse.ch/ ), Hôpitaux universitaires de Genève ( www.unige.ch/medecine/simed/en/ ), Haute école de gestion de Genève ( https://www.hesge.ch/heg/ ) PHAST - France ( www.phast.fr ) At this point in time the common French translation is not distributed by SNOMED International, but rather as an option to be published as part of a national edition of any Member involved in the production of this translation. On March 31, 2020, Inforoute Santé du Canada was the first among the French Translation Project Group to release the common French translation as part of their March 2020 SNOMED CT Canadian Edition release . Also effective March 31, 2020, PHAST has included the common French translation in its FHIR terminology server, STS, available for testing and also leveraged by its French browser of SNOMED CT available at http://visionneusecioct.phast.fr/ For more information, please contact the Chair of the French Translation Project Group, Francois Macary ( contact@phast.fr ) or Inforoute Santé du Canada / Canada Health Infoway ( standards@infoway-inforoute.ca ) . Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

The SNOMED CT Web Series is a collection of scheduled webinars showcasing the achievements of the SNOMED CT community of practice across clinical, research and implementation domains. Registration is open to all and there is no cost to attend. SNOMED CT Web Series The SNOMED CT Web Series is a collection of scheduled webinars showcasing the achievements of the SNOMED CT community of practice. Registration is open to all and there is no cost to attend. Implementation Web Series Clinical Web Series Research Web Series Implementation Web Series The Implementation Web Series addresses pertinent topics related to SNOMED CT implementation. Determined by the topic, presentations will be held by representatives from the SNOMED CT community, staff members, or relevant external parties. Upcoming implementation webinars Click here to view the full schedule. SCROLL TO SEE MORE Watch past webinars Clinical Web Series The Clinical Web Series showcases clinical real-world experiences working with SNOMED CT. Upcoming clinical webinars Implementación de SNOMED CT en Costa Rica. Registro oncológico Date: September 23rd, 2026 Time: 18:00-19:30 UTC Register here: https://snomed.zoom.us/webinar/register/WN_xecaPpKTQRW4r3H-XKlbYw#/registration SCROLL TO SEE MORE Watch past webinars Research Web Series The Research Web Series showcases distinguished researchers from the SNOMED CT community and their current research leveraging SNOMED CT. Upcoming research webinars There are currently no scheduled Research Web Series sessions. SCROLL TO SEE MORE Watch past webinars Future presenters Interested in participating as a Web Series presenter? Contact us. 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

Events SNOMED International values engagement throughout the year with our thriving Community of Practice. Subscribe Subscribe to SNOMED International event information SNOMED International Business meetings Learn more SNOMED CT Expo Learn more Industry conferences Learn more SNOMED CT Web series Learn more Get involved Find out how you can get involved Learn more What's on this week Meetings and webinars open to observers 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

In this work, we present the technical architecture behind an AI-powered application that automatically extracts diagnoses from clinical documentation and updates patient problem lists using SNOMED CT. We explore how large language models combined with semantic search capabilities enable accurate identification and coding of diagnoses, while maintaining clinical relevance and addressing the technical challenges of integrating with existing EHR systems in a Belgian hospital. Back View Map Healthsage.ai Leveraging large language models and semantic search for automated SNOMED CT-based problem list maintenance Read More Country / Region EMEA Tags Artificial intelligence, Clinical Practice, Data quality, Implementation, Innovation In this work, we present the technical architecture behind an AI-powered application that automatically extracts diagnoses from clinical documentation and updates patient problem lists using SNOMED CT. We explore how large language models combined with semantic search capabilities enable accurate identification and coding of diagnoses, while maintaining clinical relevance and addressing the technical challenges of integrating with existing EHR systems in a Belgian hospital. Description This project focuses on the development of a hybrid AI system combining large language models and semantic search for clinical text analysis. We created a pipeline to identify and extract new diagnoses from unstructured clinical documentation as well as mapping extracted diagnoses to appropriate SNOMED CT concepts. The scope includes development of a validation framework to ensure accuracy before updating problem lists and integration with existing EHR systems at a hospital setting with focus on minimal disruption of clinical workflows. Scope SNOMED CT's multilingual capabilities support deployment across linguistically diverse healthcare settings, and the standard's widespread adoption in healthcare IT systems facilitates integration with existing EHR infrastructures. Moreover, its granularity allows for highly specific encoding of clinical concepts, enabling a precise representation of clinical diagnoses. How SNOMED CT will be used SNOMED CT serves as the foundational clinical terminology for structuring and validating extracted diagnoses from unstructured clinical text. SNOMED CT is used as a target ontology for mapping identified conditions and as a knowledge base to support semantic search. 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

Don Sweete SNOMED International Host Don Sweete CEO, SNOMED International Don Sweete is Chief Executive Officer of SNOMED International. He joined SNOMED International in 2014, bringing more than 30 years of industry leadership and executive management experience to his role. As CEO, Don leads the corporate direction and strategy of SNOMED International, and is responsible for all facets of the business ranging from product content, technical support, customer relationship management, and organization enabling functions. Since joining the organization, Sweete has worked to share SNOMED International’s broadening strategy and vision with its Members, customers, and partners globally. Prior to becoming CEO, Don Sweete served as a member of SNOMED International’s Management Board (formerly known as IHTSDO), from October 2011 to December 2013. During this time he held positions on various Management Board Committees (Executive, Finance, Transition, Implementation and Innovation) contributing to the success of the organization. In his previous role as Executive Regional Director of the Standards Collaborative and Atlantic Region for Canada Health Infoway, he was responsible for all digital health implementations in the region and fulfilling the national standards agenda. Back Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

Austria's representative to SNOMED International is ELGA GmbH. Austria Austria's representative to SNOMED International is ELGA GmbH. Contact Details ELGA Website: www.elga.gv.at Appointed Representatives General Assembly: Stefan Sabutsch Member Forum: Annatina Foppa and Nina Svec News articles Austria's representative to SNOMED International is ELGA GmbH, through which the SNOMED CT® terminology standard and related assets are made available to Austrian users. Established in 2009, ELGA GmbH is an independent, not-for-profit organization funded by the federal government, the federal provinces and the Main Association of Austrian Social Security Institutions. The mission of ELGA GmbH is the planning and implementation of the Austrian national electronic health record "ELGA". ELGA, an acronym for “elektronische Gesundheitsakte”, serves as an information system that simplifies the process of accessing your health records for you and your doctors, as well as other health care professionals at hospitals, care facilities and pharmacies. Health data such as a patient’s test results are generated by a variety of health institutions. ELGA networks all of them and makes them available digitally by means of a link. More information about SNOMED CT in Austria can be accessed at: www.elga.gv.at 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

Membership National licensing ensures that high quality clinical information is available to all stakeholders. Members of SNOMED International can be an agency of a national government, or another body endorsed by an appropriate national government authority within the territory it represents. Back Benefits Free use of SNOMED CT within the Member’s territory. Members manage the release, distribution, and sub-licensing of SNOMED CT and other products of the Association within their Territory. Twice-yearly updates of the international release of SNOMED CT Ability to create national extensions of SNOMED CT and to apply to translate the standard into national language(s) Free access to SNOMED CT resources within the Member’s territory available via the document library Free access to SNOMED CT educational programming. View our E-learning resources Ability to suggest the addition of new concepts or changes to current concepts and relationships, in the international release Representation on the SNOMED International General Assembly and Member Forum, the organization’s governance bodies. Members play a critical governance role through the approval of the organization's budget and strategy. National delegates invited to participate in twice-yearly governance, advisory, working special interest and project group business meetings and conferences. Learn more about our events Access to forums and networks to share, and learn from, SNOMED CT implementation experiences Fees Membership fees are based on the most current World Bank Gross National Income (GNI) Atlas values as published by the World Bank. 2026 Membership Fees Our Customer Stakeholder & Relationship Team Contact the appropriate SNOMED International Customer Stakeholder & Relationship Management executive. Global & North America: Shelley Lipon Middle East & Africa: Rory Davidson (interim) Latin America: Victor Medina Europe: Licinio Mano Asia Pacific: Liara Tutina Contact us Contact us Do you have questions about SNOMED International membership, licensing or fee exemptions? For a fee calculation or estimate, please contact info@snomed.org with information about your intended use. Other modes of deployment e.g. web applications and browsers, will require special permission and fees applied. Access the help center Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

The Graz Interface Terminology for SNOMED CT‚Äù (SNO_GIT) is a huge vocabulary that links German-language clinical jargon to SNOMED CT codes, using n-gram extraction, machine translation, linguistic rules, and manual curation. We report about the evolution of this resource - first presented at EXPO 2015 - during the past ten years and describe its use in a clinical coding scenario. Back View Map Institut für Medizinische Informatik, Statistik und Dokumentation SNOMED CT - Graz Interface Terminology Experiences and lessons learnt after a decade of large-scale interface terminology development Read More Country / Region EMEA Tags Clinical Practice, Global/International, Mapping, Translation The Graz Interface Terminology for SNOMED CT‚Äù (SNO_GIT) is a huge vocabulary that links German-language clinical jargon to SNOMED CT codes, using n-gram extraction, machine translation, linguistic rules, and manual curation. We report about the evolution of this resource - first presented at EXPO 2015 - during the past ten years and describe its use in a clinical coding scenario. Description The Graz Interface Terminology for SNOMED CT (SNO_GIT) is an ongoing activity that aims to develop a German-language user interface terminology aligned with the international version of SNOMED CT. SNO_GIT is designed to serve as a resource-efficient, scalable, and pragmatic foundation for integrating SNOMED CT into German-language clinical information systems. It supports both entity linkage for clinical text mining and the provision of a comprehensive index for term retrieval in manual coding scenarios. The creation of SNO_GIT started in 2013 at the Medical University of Graz (Austria), with the goal of covering all English-language SNOMED CT terms linked to active concepts. These source terms from the English Descriptions table are first chunked into noun phrases and then broken down into token n-grams, i.e. sequences of one to five words. These units are systematically translated into German, initially through Web translation services and subsequently refined through manual curation. This core vocabulary is then enhanced by tags, specifying parts of speech and noun inflection classes. Special attention is given to the linguistic particularities of the German language, including single-word-compound formation, noun inflexions and word order. Increasingly, synonyms from authentic clinical corpora have been added, many of which are short forms such as acronyms. The development process is supported by numerous Python scripts for variant generation and editorial assistance. Manual review, mostly done by medical students, produces a growing list of negative patterns to filter out atypical or unsuitable term candidates. The remaining candidates are ranked based on the frequency of their constituent token sequences in German reference corpora. The resulting large-scale interface terminology is further customised for specific use cases such as manual coding support and clinical text mining. Cut-off points are set regarding the maximal number of synonyms per SNOMED code and a minimum score value. Depending on the application, the number of terms ranges from two to ten million. Scope SNOMED CT was chosen for its conceptual depth, international distribution, and machine-readable structure. The described use case supports the precise and interoperable representation of outpatient records, a first step towards the implementation of a fully structured International Patient Summary (IPS). Thus, the presented project constitutes the by far largest SNOMED CT implementation in a German-speaking country. How SNOMED CT will be used ELGA GmbH ‚ the Austrian SNOMED CT National Release Center has recently established a collaboration with the developers of SNO_GIT with the goal to provide this resource for speeding up coding of diagnoses in the outpatient sector, with the prospect of expansion to other sectors of the healthcare system and to other types of relevant information such as clinical procedures. SNO_GIT will thus be used as a huge index vocabulary for the e-Health coding service developed and operated by the Austrian Ministry of Labour, Social Affairs, and Consumer Protection and rolled out to routine use in outpatient clinics in 2026. Constant adaptations to an ever evolving clinical terminology will require long-term collaboration and the increasing use of AI technology for content maintenance and quality assurance. 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

Imagine hospital notes transforming themselves into research-grade evidence before the night shift ends: built in Oxford, Striata, a SNOMED-powered AI Scientist ingests raw text, de-identifies it, and maps every concept to SNOMED CT (and companion vocabularies) in real time. Once structured, its multi-agent engine sweeps across diagnoses, medications, age, comorbidities, seasonal trends and workflow metrics, plotting hidden patterns, proposing testable hypotheses, running statistics and flagging bias, then hands users publication-ready reports. Early pilots, including Latvia's NHS, show Striata compresses weeks of analyst labour into minutes, turning any ward into a discovery hub without adding to workloads. By fusing large language model reasoning with SNOMED's formal logic it delivers faster scientific discovery, rapid pharmacovigilance, sharper equity audits and instant operational feedback. Back View Map Amorphous AI The Future Is Here: An AI Scientist for Every Hospital Read More Country / Region EMEA Tags Artificial intelligence, Data analytics, EHDS (European Health Data Space), Innovation, Research, Tooling Imagine hospital notes transforming themselves into research-grade evidence before the night shift ends: built in Oxford, Striata, a SNOMED-powered AI Scientist ingests raw text, de-identifies it, and maps every concept to SNOMED CT (and companion vocabularies) in real time. Once structured, its multi-agent engine sweeps across diagnoses, medications, age, comorbidities, seasonal trends and workflow metrics, plotting hidden patterns, proposing testable hypotheses, running statistics and flagging bias, then hands users publication-ready reports. Early pilots, including Latvia's NHS, show Striata compresses weeks of analyst labour into minutes, turning any ward into a discovery hub without adding to workloads. By fusing large language model reasoning with SNOMED's formal logic it delivers faster scientific discovery, rapid pharmacovigilance, sharper equity audits and instant operational feedback. Description Oxford-based Amorphous AI has developed Striata, a cutting-edge multi-agent AI system designed to autonomously transform raw clinical text into actionable insights in real-time. Striata's cooperative AI agents seamlessly perform patient data de-identification, precise SNOMED CT mapping of clinical entities, and execute automated research cycles that include: * Data Exploration ‚ Systematic and deep analysis of clinical data across demographics, timeframes, and disease states. * Dynamic Visualization ‚ Real-time graphical representations that reveal subtle or complex clinical patterns. * Hypothesis Generation ‚ Automatic identification of clinically significant associations, such as medication risks and operational inefficiencies. * Statistical Testing & Bias Detection ‚ Robust validation processes, including successful autonomous detection of intentionally hidden synthetic drug-outcome associations in a specially constructed benchmark dataset. * Automated Reporting ‚ Generation of detailed, regulator-compliant reports covering methodologies, findings, statistical rigor, and identified limitations. In this project, we generated a synthetic dataset containing ground truths, such as associations between drugs and outcomes. We will present results of this benchmark, showcasing Striata's ability to mine complex health data for insights on par with world-class research teams at a fraction of the cost. Scope SNOMED's rich semantic structure provides ideal support for sophisticated, algorithmic reasoning. Internationally recognized standard ensuring interoperability across global healthcare and regulatory bodies. Essential compatibility with EHDS and FHIR standards, enabling healthcare providers to comply seamlessly with emerging European regulations. Frequent and comprehensive updates allow for rapid integration of novel clinical insights and therapeutic interventions. How SNOMED CT will be used Canonical Encoding ‚ Clinical entities, including diagnoses, medications, procedures, and observations, are standardized to SNOMED identifiers, maintaining nuance through advanced post-coordination techniques. Ontology-Based Reasoning ‚Leverages SNOMED's semantic hierarchy and causal relationships to dynamically refine patient cohorts without human-driven rules. Quality Control with Snowstorm ‚Ensures accuracy and quality control of SNOMED mappings, automatically identifying and rectifying discrepancies following SNOMED updates. 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

Ontology 2.0 deepens LOINC®-SNOMED collaboration, speeds global lab interoperability Back 1 Oct 2025 Back INDIANAPOLIS, US and LONDON, UK – October 3, 2025 – Regenstrief Institute and SNOMED International have released LOINC® Ontology 2.0, the next version of The LOINC Ontology: A LOINC and SNOMED CT Interoperability Solution and a significant advance in their ongoing collaboration to streamline the exchange and use of health data worldwide. This version expands the Ontology with approximately 6,000 additional concepts, with more than 2,500 new “Orderable Grouper” concepts that provide practical, higher-level groupings for laboratory orders. By introducing this organization, called LABORDERS.ONTOLOGY, the partners are deepening their relationship and making it easier for implementers to deploy a broader range of LOINC and SNOMED CT concepts across health information systems. Developed as a LOINC and SNOMED CT interoperability solution, the LOINC Ontology helps organizations that implement different combinations of the two standards meet clinical and regulatory requirements with a single, complementary approach. SNOMED CT supplies the computable framework, while LOINC contributes rich laboratory and pathology content in a widely understood format – benefiting implementers globally, including those in countries that do not yet use LOINC. The update is in response to international users who requested clearer navigation and application. Instead of working with a flat list of tens of thousands of concepts, implementers can now use this organization hierarchy to locate and manage related tests more efficiently. Version 2.0 continues to support the ongoing development of standardized laboratory orders and results for exchange and use in health data systems globally. Each grouper combines component, system (specimen) and a new “measurement” property to group related result concepts, giving users an at-a-glance structure that encompasses three or more related tests. These concepts are designed for ordering, not for reporting results, and align with the granularity typical of laboratory order catalogs. “Many laboratories need order codes that are more abstract than result codes,” said MarjorieRallins, DPM, M.S., executive director of Health Data Standards at Regenstrief, which oversees LOINC. “With these new Orderable Grouper concepts, we’re giving the community a better way to align laboratory ordering practices with the rich specificity of LOINC. The LOINC Ontology is novel and transformative in providing clinical observation content in an integrated format that accelerates interoperability and supports stakeholders with meeting clinical and regulatory requirements.” “Significant commitment and collaboration have gone into producing this Ontology,” said Don Sweete, CEO of SNOMED International. “SNOMED CT contributes the computable clinical framework, rigorous semantics and terminology that anchor the Ontology 2.0 hierarchy, enabling navigation, decision support, analytics and global interoperability alongside LOINC’s laboratory content. It’s an excellent illustration of how we’ve leveraged our mutual expertise to further the goal of interoperability for implementers globally.” Key highlights of LOINC Ontology 2.0 include: ONTOLOGY concepts: Each combines component, system (specimen) and a new “measurement” property to group related result concepts. Created for ordering, not results: These concepts provide a granularity consistent with typical laboratory order catalogs but should not be sent as result codes. Clearer navigation: Users gain an “at a glance” structure that encompass three or more related result concepts for easier browsing. Guidance and training: Tutorials and educational resources will be developed to support correct implementation and prevent misuse. The LOINC Ontology is fully owned by Regenstrief Institute and is available free of charge under the existing LOINC royalty-free license. SNOMED International members and users can access LOINC in the same format as SNOMED CT. Each organization retains editorial control of its respective standard. SNOMED International, a not-for-profit organization governed by 50 global members, sets global standards for health terminology. Its comprehensive, multilingual SNOMED CT enables healthcare professionals to capture, share and analyze patient care data to support safe, effective health information exchange. In 2022, the two organizations signed a milestone agreement to create a LOINC extension of SNOMED CT. This built on a partnership established in 2013 that linked SNOMED’s clinical semantics to LOINC’s observational concepts, improving data exchange and interoperability across health systems. For more information and to browse and download the Ontology, visit https://loincsnomed.org . This press release was originally published on the Regenstrief Institute website on September 29, 2025. About LOINC® LOINC® was created in 1994 at Regenstrief Institute to facilitate interoperability in healthcare. There was a growing trend to send clinical data electronically between healthcare entities, a practice that has now become ubiquitous. Today, it contains more than 108,000 concepts for everything from an albumin level to a zygomatic arch X-ray report. For each concept, LOINC contains many other rich details, such as synonyms, units of measure and carefully crafted descriptions. About SNOMED International SNOMED International is a not-for-profit organization 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. https://www.snomed.org . About Regenstrief Institute Regenstrief Institute, based in Indianapolis, is a globally renowned medical research organization with expertise and innovation in aging, health services and biomedical informatics research, global health standards and data stewardship. The organization collaborates with local, state, national and international public and private sector partners to develop, conduct, disseminate and implement impactful scientific research and solutions in health systems and across communities. The Institute’s vision is to engage in pioneering, transformative, interdisciplinary solutions for a healthier world. Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

University of Nebraska Medical Center pathology cancer reports have been recorded and stored as Portable Document Format (PDF) in the Electronic Health Records (EHR). Therefore, the data held within these reports is not readily available for use in research or patient care decision making. To rectify it, we developed an approach to extract and SNOMED CT encode large amounts of historical cancer pathology data and insert these data into a Clinical Data Warehouse (CDW) to support clinical research endeavors and population health efforts. A five-step process was applied to five cancer types: ampulla of Vater, pancreas, esophagus, lung, and prostate.1) PDF pathology reports were generated from a pathology information system; 2) The system's user interface for synoptic reporting was evaluated, all possible text strings were identified, and bindings of controlled text strings and SNOMED CT was created; 3) A python-based program was used to convert the PDF reports to plain text and extract synoptic text strings; 4) Free-text data were bound with SNOMED CT; 5) SNOMED CT encoded cancer data were integrated into the CDW. This project demonstrated a tractable method to extract and transform PDF-based pathology cancer data from EHR to SNOMED CT encoded data to support of research and public health. Automated data conversion from text/PDF to SNOMED CT is possible when structured text is used to create initial reports. Free-text or non-standard, unstructured text were manual, case-by-case reviewed. Following this, multiple years of historical pathology cancer data was encoded and made available for multiple future uses. Back View Map University of Nebraska Medical Center Extraction and Transformation of Pathology Cancer Report Data into a SNOMED CT Encoded Data Repository Read More Country / Region Americas Tags Data quality, Implementation, Mapping, Research University of Nebraska Medical Center pathology cancer reports have been recorded and stored as Portable Document Format (PDF) in the Electronic Health Records (EHR). Therefore, the data held within these reports is not readily available for use in research or patient care decision making. To rectify it, we developed an approach to extract and SNOMED CT encode large amounts of historical cancer pathology data and insert these data into a Clinical Data Warehouse (CDW) to support clinical research endeavors and population health efforts. A five-step process was applied to five cancer types: ampulla of Vater, pancreas, esophagus, lung, and prostate.1) PDF pathology reports were generated from a pathology information system; 2) The system's user interface for synoptic reporting was evaluated, all possible text strings were identified, and bindings of controlled text strings and SNOMED CT was created; 3) A python-based program was used to convert the PDF reports to plain text and extract synoptic text strings; 4) Free-text data were bound with SNOMED CT; 5) SNOMED CT encoded cancer data were integrated into the CDW. This project demonstrated a tractable method to extract and transform PDF-based pathology cancer data from EHR to SNOMED CT encoded data to support of research and public health. Automated data conversion from text/PDF to SNOMED CT is possible when structured text is used to create initial reports. Free-text or non-standard, unstructured text were manual, case-by-case reviewed. Following this, multiple years of historical pathology cancer data was encoded and made available for multiple future uses. Description It is still common for pathology reports to be stored and distributed as Portable Document Format (PDF). While this format helps user easily read the information, it causes a barrier to computation, secondary use, or electronic data exchange. That is an important issue because pathology reports contain crucial information for patient care and treatment planning. To address this, we initiated an ongoing project composed of three parts: (1) data extraction, (2) data encoding using SNOMED CT, and (3) integration into the Clinical Data Warehouse (CDW). This abstract will present findings from the process based on five cancer types: ampulla of Vater, pancreas, esophagus, lung, and prostate. Scope SNOMED CT was selected as it is currently the sole international medical terminology standard capable of representing pathology cancer data as found in pathology reports. In addition, SNOMED CT is a terminology supported for use in national and international research oriented Clinical Data Warehouses (CDW) including OMOP and PCORI. By performing this study, a practical, tractable process to extract uncoded pathology data from the electronic health record and convert to encoded, structured data for use in CDW has been demonstrated for widespread use. How SNOMED CT will be used In the encoding process SNOMED CT was used to bind (map) the extracted data from Portable Document Format (PDF). Specifically, terminology binding between the extracted data and SNOMED CT was conducted in two parts: (1) batch binding based on a predefined master file based on the synoptic report format, and (2) manual binding for free-text elements. The project follows the pathology cancer date methods proposed by the Cancer Synoptic Reporting Working Group (CSRWG) of SNOMED International and described in the Cancer Synoptic Reporting Implementation Guide. 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