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

JIC: Setting the stage for the future Back 7 Jul 2020 Back Since 2007, the Joint Initiative Council (JIC) has been committed to transforming the global healthcare system into one that is digital. The goal is precise, targeting the real-time exchange of information based on full interoperability enabled by global standards. Download our white paper and learn how nine global standards development organisations serving collectively as the JIC are proudly working together to build and continuously refine coordinated global standards that make high-quality data available to the right people, at the right place and time, supporting high-quality healthcare decisions. Stay up to date with JIC updates on Twitter and LinkedIn 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 welcomes Hungary to a growing and global community of practice Back 5 Sept 2024 Back SNOMED International is pleased to announce that Hungary has become a SNOMED International Member. Hungary will join a community of 49 Members globally. It is the fifth following the announcement of EU funding for Member states wishing to adopt SNOMED CT. 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. Hungary, a landlocked eastern European country of almost 10 million citizens, is perhaps best known for its rich cultural contributions, particularly in classical music. Its healthcare system is publicly funded and offers universal coverage to its citizens. While local county hospitals plan and manage inpatient care at the county level, under the supervision of National Directorate-General for Hospitals , the country administers its healthcare financing system through the National Institute of Health Insurance Fund Management - Nemzeti Egészségbiztosítási Alapkezelő (NEAK). Since launching an electronic patient record in 2017, Hungary’s efforts to further digitize the healthcare system were spurred in part – as in many countries – by the COVID-19 pandemic . In April 2023, Dr Péter Takács, Hungary’s State Secretary for Health, made strengthening the country’s health resources, infrastructure and delivery, harnessing technology and innovation to better serve its population, and nurturing its health and care workforce its main priorities. Other notable activities supporting Hungary’s digital health advancement include a recent study where Hungarian researchers mapped more than 6,000 in-patient and outpatient procedure codes to SNOMED CT, as part of the European Health Data Evidence Network (EHDEN) project. The EHDEN project’s goals are to reduce the time needed to provide answers in real world health research by developing the required infrastructure in a federated network at scale across Europe, collaboration on research methodologies, and education in an open science collaboration. Hungary is also active in cross-border research and data-sharing initiatives, according to a country profile gathered as part of Towards European Health Data Space (TEHDAS) . TEHDAS, whose purpose is to help Member States and the Commission to develop concepts and guidelines for the governing, usage and sharing of health data for secondary purposes, is cited as a concrete tool to develop the European Health Data Space and access to health data for secondary uses such as research, innovation and policy-making. Also noted in the profile is Hungary’s strategic investments in data-driven tools and artificial intelligence, as well as innovative pilot projects building the technical infrastructure for federated analysis. Country objectives also include development of a separate infrastructure for the secondary use of health data. SNOMED International CEO Don Sweete concurs with the benefits that SNOMED CT can contribute to Hungary’s digital health infrastructure, adding that Hungary’s membership strengthens our European Members’ efforts to collaborate and share implementation lessons learned. “SNOMED CT's global clinical terminology can support Hungary in achieving its digital health goals and its ambitions to develop a data-driven health system," he said. To learn more about SNOMED International and SNOMED CT, visit 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 Kingdom of Saudi Arabia joins the SNOMED CT Community Back 24 Jun 2019 Back London, United Kingdom, June 24, 2019 (GLOBE NEWSWIRE) -- SNOMED International and the National Health Information Center (NHIC) are pleased to announce that the Kingdom of Saudi Arabia has recently joined as the organization’s thirty-ninth Member. The NHIC has been established pursuant to the Saudi royal decree no. 333 to be linked with health services and connected to an electronic network of health information with the Ministry of Health, medical services in the military bodies, university hospitals and other relevant government agencies. It is the vision of the Center to serve as the core axis of smart, safe and reliable digital information and healthcare services in the Kingdom and in doing so will provide, organize and exchange health information electronically among bodies of health sectors and other relevant bodies. Through Membership in SNOMED International, the Kingdom and NHIC have committed support for structured terminology to address national tasks to standardize clinical terminology, names and definitions used in all health information systems and methods of collection. With the Kingdom’s strategic aims to support transformation of electronic healthcare services along with facilitating the circulation of health data and information electronically safely, SNOMED CT is a valuable tool to be used throughout the country. 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. The addition of the Kingdom of Saudi Arabia has grown the organization’s Membership to thirty-nine countries and territories across five continents and enables management and use SNOMED CT and other related products. Membership also extends to participation on the General Assembly, a critical governance role which includes responsibility for approval of the organization's budget and strategy. “The Kingdom’s Membership in SNOMED International will extend the footprint of clinical terminology in place in hospital and health information systems within Saudi Arabia. In line with the launch of the Kingdom’s healthcare transformation strategy and Saudi’s 2030 Vision, investment in digital health infrastructure such as clinical terminology standards will contribute to accomplishing these goals” says SNOMED International CEO, Don Sweete. “SNOMED CT is internationally recognized as a powerful terminology for healthcare. Through our Membership in SNOMED International we are certain we can increase patient safety in the kingdom by eliminating errors occurring due to misinterpreted data, while fulfilling our National E- Health Strategy aligned with the Kingdom’s healthcare transformation strategy and 2030 Vision” says the NHIC’s General Director. The Kingdom of Saudi Arabia becomes the third country within the Middle East region to join SNOMED International, further extending the SNOMED CT use, implementation experience and collaboration opportunities for the area. To learn more about the National Health Information Center visit https://nhic.gov.sa/en/Pages/default.aspx . Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

Effective data sharing across institutions is crucial in low prevalence disease research to achieve statistical power and improve clinical outcomes. However, independently created clinical databases often lack semantic interoperability due to non-standardized terminologies. This project takes advantage of an implementation of SNOMED CT within a Neo4j graph database (https://github.com/IHTSDO/snomed-database-loader/), utilizing graph-based algorithms to calculate semantic distances between clinical concepts. By applying the shortest-path algorithm, we significantly reduce manual review efforts required for data harmonization. This implementation facilitates efficient and accurate identification of equivalent or closely related clinical variables across diverse research databases, thus enhancing multi-center collaboration and interoperability in low prevalence disease studies. Back View Map Fundación Para La Investigación Biomédica Hospital Clínico San Carlos Using Graph Databases to Harmonize Multi-Center Data with SNOMED CT Read More Country / Region EMEA Tags Data quality, Research Effective data sharing across institutions is crucial in low prevalence disease research to achieve statistical power and improve clinical outcomes. However, independently created clinical databases often lack semantic interoperability due to non-standardized terminologies. This project takes advantage of an implementation of SNOMED CT within a Neo4j graph database (https://github.com/IHTSDO/snomed-database-loader/), utilizing graph-based algorithms to calculate semantic distances between clinical concepts. By applying the shortest-path algorithm, we significantly reduce manual review efforts required for data harmonization. This implementation facilitates efficient and accurate identification of equivalent or closely related clinical variables across diverse research databases, thus enhancing multi-center collaboration and interoperability in low prevalence disease studies. Description The project addresses the challenge of harmonizing clinical research data from multiple hospitals and research centers, particularly in the context of low prevalence diseases. Each center often develops its own variables and codes independently, resulting in fragmented data structures that complicate data sharing and collaboration. To tackle this, we have deployed SNOMED CT in a graph database environment (Neo4j) to measure semantic distances between concepts across disparate datasets. This was done using the code shared in https://github.com/IHTSDO/snomed-database-loader/. Finally, Python with the neo4j library, was used to query the Neo4j database with shortest path algorithm, calculating the minimum distance between pairs of concepts (i.e. different variables in different databases). This assists in identifying potential overlaps, reducing the manual workload involved in comparing and merging equivalent concepts. By establishing a threshold distance (i.e., number of nodes between two concepts) to flag concepts for manual review, our approach facilitates the creation of integrated, multi-center datasets critical for meaningful, and statistically significant, research and improved patient outcomes Scope SNOMED CT serves as the target terminology for standardizing variables retrospectively collected across diverse research datasets. In practice, each variable or data element from partner hospitals was mapped to a SNOMED CT concept (where possible). Then, SNOMED CT was loaded into a Neo4j graph database. This graph representation, capturing concepts and their relationships, enables the application of graph algorithms (specifically shortest-path) to compute semantic distances between the various SNOMED CT codes assigned to potentially similar variables across different datasets. This analysis focused only on pre-coordinated concepts to identify candidates variables for harmonization. How SNOMED CT will be used SNOMED CT was selected as the foundational terminology due to its international recognition, comprehensive clinical coverage, and potential to enable true semantic interoperability for healthcare data exchange and secondary use in research, in line with European recommendations. Despite the known challenge of coding variability due to its granularity, its rich, hierarchical, and multi-axial ontological structure is uniquely suited for graph-based analysis. This structure allows us to computationally assess semantic relatedness between 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

This is placeholder text. To change this content, double-click on the element and click Change Content. Back Jim Case Chief Terminologist Jim joined SNOMED International in June 2015, seconded on a part time basis from the National Library of Medicine (NLM), providing leadership across the Content Development and Mapping areas. After retiring from the NLM in December 2018, Jim transitioned wholly to SNOMED International, retaining his half-time role as the Head of Terminology. Jim received his MS in Genetics from Stanford University and both his D.V.M. and Ph.D. (Comparative Pathology) from UC Davis. He served as Professor of Clinical Diagnostic Informatics with the California Animal Health and Food Safety Laboratory System at UC Davis from 1986 until 2010. In 1995, his efforts were focused on the development of national veterinary data standards. Having been heavily involved in standards development organizations, Jim has served as a member of the Laboratory LOINC committee, co-chair of the Health Level Seven vocabulary work group, Director at large for HL7 and is currently a member of the WHO Medical and Scientific Advisory Committee for ICD-11. He was Professor of Clinical Diagnostic Informatics at the California Animal Health and Food Safety Laboratory, School of Veterinary Medicine, University of California, Davis, from 1987-2010. He served at the NLM from January 2010 to December 2018, where his primary role was the development and maintenance of the US extension to SNOMED CT and addition of US content into the International release of SNOMED CT. He is the first veterinarian to be elected to the American College of Medical Informatics. Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

SNOMED recognizes and celebrates 2023 Lifetime Achievement and Award for Excellence winners Back 21 Dec 2023 Back As 2023 draws to a close, SNOMED International recognizes its 2023 Lifetime Achievement and Award for Excellence winners SNOMED International recently awarded two Lifetime Achievement and two Awards for Excellence at its 2023 Awards Gala held in conjunction with SNOMED CT Expo 2023 in Atlanta, GA. Vivian Auld, Dr. Keith E Campbell, Pim Volkert and W. Scott Campbell recognized. The Lifetime Achievement Award recognizes individuals for outstanding, sustained contribution in the development and promotion of SNOMED CT and overall global leadership in the terminology field. The Award of Excellence is given for outstanding contribution to the improvement of SNOMED CT and its successful implementation in health and social care. Lifetime Achievement Award winner Vivian Auld The first award in this category was given to Vivian Auld, Senior Specialist for Health Data Standards (retired) at the US National Library of Medicine. Vivian, who was involved with US federal strategy for terminology standards for electronic health records since the early 1990s, worked at the US National Library of Medicine for almost three decades, where she focused on supporting the nationwide implementation of an interoperable health information technology infrastructure to improve the overall quality and efficiency of health care. She was also an active member of the team that developed and executed the strategy which led to the inclusion and acceptance of SNOMED CT in US health data policy, and played a role in discussions about global adoption of SNOMED CT. Vivian has been and remains an advocate for the equal rights of all SNOMED International Members regardless of size or wealth and an ambassador for SNOMED CT adoption and implementation. Lifetime Achievement Award winner Dr Keith E Campbell The second award in this category went to Keith E. Campbell, MD, PhD, Program Director, US Food and Drug Administration’s Systemic Harmonization and Interoperability Enhancement for Laboratory Data program. Keith was a key member of the original SNOMED CT Design Team created in 1999 following the agreement between the College of American Pathologists and the UK NHS to merge SNOMED RT with NHS Clinical Terms Version 3. As a member of SNOMED International’s original Editorial Board, Keith continued his contribution to the SNOMED Technical Design Team that produced the original distribution format and its evolution into RF2, including the reference set mechanism that today enables the graceful evolution of SNOMED CT to support broader use cases and extensibility requirements. Award for Excellence winner Pim Volkert Clinical data architecture coordinator (formerly head of the Netherlands SNOMED CT National Release Centre) Pim Volkert, a long-time ambassador and driving force for SNOMED CT in the Netherlands, also drove the translation of SNOMED CT into the Dutch language. All of these efforts resulted in the Netherlands’ adoption of SNOMED CT as the preferred terminology. Pim is also the clinical data coordinator of Health-RI, a Netherlands national program to build a national and integrated health data infrastructure for research and innovation. Award for Excellence winner W. Scott Campbell W. Scott Campbell, Associate Professor at the University of Nebraska Medical Center, was nominated for his work in implementing electronic health record systems in ambulatory care practices and his leadership capabilities as a terminologist and implementation specialist, bringing together, educating and guiding a large group of pathologists, terminologists and other specialists. “The SNOMED International Awards Gala, where we recognize and celebrate those SNOMED CT community members who have made outstanding contributions to the development and implementation of the clinical terminology, is always one of the biggest highlights of our yearly Expo,” says SNOMED International CEO Don Sweete . “Although there are always many worthy contenders, we salute the four chosen this year, each of whom has played such a pivotal role in the ongoing development and success of SNOMED CT globally.” 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/ Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

Hospitals in the United States often implement fundamentally incompatible schemas and coding systems, with majority of healthcare organizations unable to effectively share structured clinical data across institutional boundaries, severely limiting data uplift for policymaking, resource planning, and budgeting. We present HARMONY (Healthcare Alignment and Record Modernization via Ontologies and Neural sYstems), a method for standardizing healthcare records across hospitals and states leveraging SNOMED CT. Back View Map Apurba Tech Healthcare Alignment and Record Modernization via Ontologies and Neural sYstems (HARMONY) leveraging SNOMED CT Read More Country / Region Americas Tags Artificial intelligence, Data analytics, Innovation, Mapping, Research Hospitals in the United States often implement fundamentally incompatible schemas and coding systems, with majority of healthcare organizations unable to effectively share structured clinical data across institutional boundaries, severely limiting data uplift for policymaking, resource planning, and budgeting. We present HARMONY (Healthcare Alignment and Record Modernization via Ontologies and Neural sYstems), a method for standardizing healthcare records across hospitals and states leveraging SNOMED CT. Description Patient procedures are often recorded in inconsistent formats by hospitals in the United States, making it difficult to use this data effectively for policymaking, resource planning, and budgeting. We present HARMONY (Healthcare Alignment and Record Modernization via Ontologies and Neural sYstems), a method for standardizing healthcare records across hospitals and states. We evaluate HARMONY through embedding space metrics and expert validation. Results show that HARMONY consistently outperforms baseline methods, producing more accurate, consistent, and reusable standardized records-enabling robust applications like state-wide dashboards and national health data integration. Scope SNOMED CT consistently provides a baseline reference for standardized description and relationship of healthcare entities describing clinical procedures, in addition to diseases, symptoms, treatments and cause-and-effect functionalities. We are aiming to resolve the diversity of reporting standards adopted by various hospitals so that we can compare data reported by them at the national level; and present a clear picture of the sate of healthcare services in the United States. SNOMED CT is an obvious choice for this effort. How SNOMED CT will be used HARMONY leverages large language models (LLMs) with in-context prompting to structure free-text medical descriptions, and uses embedding-based similarity with the SNOMED CT knowledge graph to map them to standardized concepts. It covers a wide range of clinical data-including tests, procedures, medications, and diagnoses-from diverse hospital systems. 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

Position Statement: SNOMED CT Pharmaceutical Product Concept Model and Content Back 13 Apr 2017 Back A key emerging theme globally is the requirement to link clinical medications data and the data required for pharmacovigilance, regulation and supply chain. Following requests from SNOMED International Members and other stakeholders, SNOMED CT® has drafted a position statement describing the relationship between the proposed SNOMED CT Pharmaceutical/biologic product concept model and other international standards. Please click here to download the full document. This position statement is geared towards the following bodies for information and feedback as applicable: Policy makers, or equivalent agencies SNOMED International stakeholder groups Standards Development Organizations (SDOs) SNOMED CT® implementers and software vendors Pharmaceutical regulators and the pharmaceutical industry SNOMED International welcomes all opportunities to discuss partnerships in order to advance our drug content and quality for our members and stakeholders. For additional information, please contact info@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