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

BLOG: SNOMED International seeks community feedback on proposed description character limit increase Back 6 Aug 2024 Back Since the date of issue, this information is now out of date and has been archived. It has been made available for reference. When SNOMED International prepares to make changes to various aspects of SNOMED CT, most of which are driven by Member and user request, we often ask our community for their feedback on the potential impact to them. We are now launching a community consultation to solicit feedback on a proposal to increase the size limits of SNOMED CT concept descriptions to 4096 from the current limit of 255 characters. While this change does not represent a modification of the existing specification, it could be disruptive to implementers who have coded fixed length limits into their systems. In this Q&A, SNOMED International Technical Specialist Peter Groves Williams explains the proposed change, its potential benefits, the feedback process and timelines, and the issues that may need to be considered in such an update. Q: What are we asking the community to provide feedback on and why? A: We are considering increasing the maximum length of Fully Specified Name (FSN) and Synonym descriptions from the current limit of 255 to its maximum of 4096 characters, representing the largest number of characters allowed by the specification. We want to understand how this will affect implementers as it may have an impact on software vendors who have created data storage structures that are not dynamically sized. It is important for SNOMED International to understand how this change will affect them, and how we can support them. Q: Why are we considering this change? A: This increase is primarily to accommodate medicinal product FSNs, as their formation is procedurally dictated by the concept model. Terming guidance leads to the current limit being exceeded where there is a large number of ingredients, which is particularly common in multivalent vaccines. Increasing the limit to 4096 characters will ensure that SNOMED CT has the flexibility to accommodate future terming requirements. Q: When does the consultation period start and end? A: The consultation is open now and runs until December 31, 2024. Q: Are there any potential downsides or risks to this change? A: That is the purpose of the consultation – to understand how the proposed change might impact specific implementers so we can help ensure an easy transition in a feasible time frame. Q: What does this mean to me? A: SNOMED CT users should check with their software provider to ensure that relevant storage systems are capable of handling longer descriptions; that they either do not feature a 255 character limit, or that this limit can be increased prior to loading in a release of SNOMED CT which features longer descriptions. The actual timing of that release will be determined in response to feedback received from this consultation exercise. Q: How can I learn more and provide feedback? A: Visit this page for all the details and background and for the link to the feedback document. Questions? Email us at info@snomed.org .

SNOMED International releases its 2019 Annual Report Back 2 Jul 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. A message from the Management Board Chair, 2019 General Assembly Chairs and CEO 2019 was a watershed year for our organization and our Members. We successfully closed out the 2015-2020 strategy and collectively charted a course for SNOMED International over the next five years. A Member-led initiative, the next strategic phase of the organization reflects the real needs of the global healthcare landscape as it relates to care delivery, policymaking, public health, research and public health priorities. As a result of this, the 2019 Annual Report, A Global Effort to Drive Change , focuses on SNOMED International’s dedication to evolving, strengthening and developing our product and related services for the benefit of patients through our Members, clinicians, vendors and SNOMED CT users. In line with our vision, SNOMED CT has contributed positively to reducing clinical patient risk and improving outcomes. In prevalent areas such as mental health, social determinants of health, and medication management, to name a few, enhancing and releasing SNOMED CT content has enabled an improvement in the documentation of clinical activities, the tracking of outcomes, and the identification of at-risk populations. These clinical activities are joined by the ability to improve patient safety by enabling access to improved information for clinicians at the point of care. The next evolution will benefit our Members and their governments and stakeholders by enabling advanced analytics capabilities and technologies such as Artificial Intelligence, Natural Language Processing, and Machine Learning to leverage the quality content, structure and delivery strengths of SNOMED CT. Throughout this evolution, the core tenet of being a Member focused organization has remained at the forefront as the community has continued to grow. In 2019, we welcomed Kazakhstan, Finland and Armenia to the global collective of 40 SNOMED International Members. This past year’s accomplishments and our vision for the future have only been attainable due to the tremendous dedication, hard work and passionate nature of the SNOMED CT community. Together we look forward to implementing the 2020-2025 SNOMED International strategy and achieving the benefits it will yield for our Members, and ultimately the global population. Lady Barbara Judge CBE Chair, Management Board Lies van Gennip Chair, General Assembly (2019) Alex Elias Vice-Chair, Chair (October) General Assembly Don Sweete Chief Executive Officer

New license and SNOMED CT distribution system launched Back 13 Jan 2015 Back MLDS is replacing SALSA (the SNOMED CT Affiliate Licence Service Application) and offers improved navigation and more features. It will facilitate licensing for SNOMED CT use in non-Member countries and a limited number of Member countries. As part of the process of registering on the new licensing system, users will be asked to accept the new License Agreement that was approved by the IHTSDO General Assembly in 2014 and has legal effect from January 2015. The new license will also be phased in all Member countries in the coming months. Confused? Don't be. All SNOMED CT licensees will be contacted if they need to do anything. MLDS has been designed to guide users much more effectively than ever before. We welcome your feedback into this new and improved system.

In January 2014 Portugal became a Member, joining a global effort to develop, maintain, and enable the use of SNOMED CT in health systems around the world. Portugal In January 2014 Portugal became a Member, joining a global effort to develop, maintain, and enable the use of SNOMED CT in health systems around the world. Contact Details Centro de Terminologias Clínicas em Portugal / Clinical Terminologies Centre (CTC) Av. da República, n.o 61, 6o 1064-032 Lisboa Portugal Website: www.ctc.min-saude.pt Email: ctcpt@spms.min-saude.pt Appointed Representatives General Assembly: Cátia Sousa Pinto Member Forum: Filipe Mealha and Sara Russo News articles More information about SNOMED CT in Portugal can be accessed here: www.ctc.min-saude.pt Affiliated licenses can be obtained at https://mlds.ihtsdotools.org/#/landing/PT 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

SNOMED CT helps Cantebury District Health Board realize its data driven vision Back 23 Nov 2020 Back SNOMED International has released a series of videos that demonstrate the value that a healthcare system is deriving from implementing and using SNOMED CT, the world’s most comprehensive clinical terminology. The first chapter of the SNOMED CT Value Series, which focuses on New Zealand’s Canterbury District Health Board (CDHB), highlights the advances the organization has made in realizing its vision of a connected, integrated system that supports the country’s Healthy Ageing strategy and enables it to better serve its population. Acting Executive Director Planning, Funding and Decision Support, Ralph La Salle offers that “an integrated health system is essential for the health outcomes of the Canterbury population and quality data with thorough analysis leads to shared clinical insights and new ways of working collectively to optimise this integration.” Carolyn Gullery, who at the time of filming was the Executive Director, Planning, Funding and Decision Support for the CDHB, said New Zealand’s commitment to becoming a SNOMED International Member in 2007 was the beginning of a positive change for a healthcare system that was, like so many others across the globe, under extreme financial and performance-related pressure. She explains that in 2007, while its primary care system was thriving, its hospital system was struggling. Canterbury needed a better picture of its current situation and a way to predict the future needs of its 578,000 residents. Harnessing the power of data analytics Key to that goal, she noted, was the ability to use data and analytics to understand why people were ending up in the health system, who they were and how to intervene more effectively to reduce the demand on the system and provide better care for patients. By using SNOMED CT as part of its core infrastructure, and its Healthcare Analytics Solution (HCAS), a software tool that applies natural language processing to the unstructured text-based data in a clinical record, the health boards were able to code their existing data to SNOMED CT and then demonstrate to clinicians the power of using those codes to analyze that data. It is estimated that approximately 80 percent of health data is unstructured, and can represent text, photos, X-rays, voice/video recordings, slides and emails, among other types of health data. By building a series of systems that act as an integrated health platform, CDHB managed to use the same number of beds in 2019 as it did in 2007 for a population that over 12 years had grown by 80,000. Canterbury representatives also observed a 30 percent lower emergency department use and a 30 percent lower acute medical admission rate than the national average, meaning New Zealanders are less likely to end up in the hospital in Canterbury than in any other part of the country. Reducing manual labor for clinicians According to Dr. Nigel Gilchrist, a Canterbury physician, the organization had also struggled to identify vertebral spine fractures and identify patients who may not have received care for those fractures. By using SNOMED CT to search 13,000 X-ray reports as part of a pilot project involving West Coast DHB patients, the organization found that one-third of relevant patients had been treated, another third had not, and the remaining third had been misclassified. “We now identify over 200 new vertebral fractures every month,” he explained. “SNOMED CT has enabled us to identify specific case mixes that would otherwise take someone a long time to do manually.” In fact, the organization saved more than a year of a clinician’s time. Interoperability across platforms Another benefit of using SNOMED CT is its interoperability across the healthcare district’s best-of-breed applications. “We need to be sure we’re speaking the same language when we use data, and if we move it around, it’s got to mean the same thing in one place as in another,” said Dr. Saxon Connor, a Canterbury physician. Other Canterbury clinicians say they are most excited by SNOMED CT’s ability to help two different clinical tools – an electronic medical record system and a pathways tool – talk to each other via a SNOMED CT code linked to diagnoses, and by the ability to search for pathways and find hierarchies. “In the past, we had to go through our pathways manually and put keywords on them so people could find them, and with SNOMED we get all those synonyms for free,” said Kieran Holland, Clinical Lead for New Zealand’s HealthPathways Programme , an online clinical guidance tool. “It has improved the user search experience.” SNOMED CT: a piece of the digital health ecosystem as CDHB realizes multiple benefits 30 percent lower emergency department use than the national average 30 percent lower acute medical admission rate than the national average Held 2019 bed use to same numbers as in 2007 while serving a population that had grown by 80,000 Identified vertebral fracture patients who had not received care or whose cases had been misclassified Saved a year of clinician time by automating previously manual processes Interoperable across best-of-breed system Ability to link clinical tools via a SNOMED code Ability to search for pathways and hierarchies and improved user search experience There is more energy than ever in rolling out SNOMED CT as a key clinical information standard for an equitable New Zealand health and disability system, one that is data-driven and digitally enabled and SNOMED International’s CEO, Don Sweete, recognizes the dedication of New Zealand’s implementation efforts. “Canterbury is a great example of the breadth of maturity that SNOMED CT offers from data coding, data analysis, and ultimately the ability to apply artificial intelligence to already structured SNOMED CT data. It’s an end to end example of the benefit of SNOMED CT.” New Zealand’s focus over the next few years is on primary and community care, where users are migrating their systems from Read Codes to SNOMED CT as they introduce new models of care and supporting software. Watch the Value Series to learn more about SNOMED CT and New Zealand, a founding SNOMED International Member represented by the Ministry of Health Manatū Hauora.

This study investigates the comparative applicability and semantic precision of ICD-10 and SNOMED CT in the context of unstructured clinical narratives derived from abdominal region CT imaging reports. A dataset of approximately 100 cases, performed over one week at a tertiary medical center, was analyzed. The source terms extracted from the CT reports were mapped to both terminology systems (ICD-10 and SNOMED CT) in their raw form and after clinical interpretation. Results demonstrate that SNOMED CT consistently provided higher coverage and more granular, clinically meaningful representations than ICD-10, particularly when clinically interpreted terms were used. The study categorized semantic alignment into exact matches, broad matches, and no matches, and used a Venn diagram to illustrate the conceptual overlap and divergence between the two terminologies. These findings highlight the potential of SNOMED CT to facilitate more comprehensive and clinically meaningful standardization of healthcare data, extending beyond traditional diagnosis-based coding frameworks, particularly in the context of multi-center research and real-time clinical data analysis. Furthermore, the results emphasize the need for trained terminology experts in the mapping process to ensure accurate representation of clinical content. Overall, the study offers meaningful insights into the comparative advantages and limitations of ICD-10 and SNOMED CT, reinforcing the value of SNOMED CT as a more suitable framework for the standardized representation of clinical information in both research and practice. Back View Map Kakao Healthcare (4 of 5) Exploring the Mapping Coverage and Accuracy of ICD-10 and SNOMED CT in Standardizing Unstructured Clinical Data: A Focus on Abdominal region CT Imaging Read More Country / Region APAC Tags Clinical Practice, Mapping This study investigates the comparative applicability and semantic precision of ICD-10 and SNOMED CT in the context of unstructured clinical narratives derived from abdominal region CT imaging reports. A dataset of approximately 100 cases, performed over one week at a tertiary medical center, was analyzed. The source terms extracted from the CT reports were mapped to both terminology systems (ICD-10 and SNOMED CT) in their raw form and after clinical interpretation. Results demonstrate that SNOMED CT consistently provided higher coverage and more granular, clinically meaningful representations than ICD-10, particularly when clinically interpreted terms were used. The study categorized semantic alignment into exact matches, broad matches, and no matches, and used a Venn diagram to illustrate the conceptual overlap and divergence between the two terminologies. These findings highlight the potential of SNOMED CT to facilitate more comprehensive and clinically meaningful standardization of healthcare data, extending beyond traditional diagnosis-based coding frameworks, particularly in the context of multi-center research and real-time clinical data analysis. Furthermore, the results emphasize the need for trained terminology experts in the mapping process to ensure accurate representation of clinical content. Overall, the study offers meaningful insights into the comparative advantages and limitations of ICD-10 and SNOMED CT, reinforcing the value of SNOMED CT as a more suitable framework for the standardized representation of clinical information in both research and practice. Description The purpose of this study is to compare the applicability and accuracy of standardized terminology systems‚ specifically ICD-10 and SNOMED CT‚ in multi-center research and clinical data-driven studies. While ICD codes have traditionally been used for classification, SNOMED CT offers a more granular and clinically meaningful framework, enabling more precise representation and management of patient data. Distinct from prior structured code-based research, this study leverages unstructured clinical data to evaluate the coverage and applicability of the two terminology systems. In addition, mapping was performed by interpreting unstructured data to capture clinical meaning. It is anticipated that these findings will contribute to the development of more robust and clinically relevant standardization methodologies that extend beyond diagnosis-centric paradigms. Scope SNOMED CT encompasses a wide range of clinical concepts, including diseases, symptoms, treatments, test results, medical procedures, and medications. This enables healthcare professionals to handle patient data from various perspectives in clinical practice. SNOMED CT provides greater granularity and clinical relevance than ICD-10, making it more suitable for real-time clinical applications, multi-center research, and comprehensive data standardization. Granularity, in this context, refers to the capacity to express the same clinical concept with detailed distinctions such as severity, anatomical location, underlying cause, clinical context, and timing. SNOMED CT is applied in electronic health record (EHR) systems in healthcare institutions, allowing for more accurate and consistent documentation of patient information. This provides standardized data that can be used for multi-center research or national-level data analysis. How SNOMED CT will be used The SNOMED CT International Edition (version 2025-01-01) was used for the mapping process. Post-coordination was not applied in this study. This study utilized approximately 100 abdominal region CT records performed over the course of one week at a tertiary medical center. The dataset consisted of unstructured clinical narratives from various abdominal imaging modalities, including abdominopelvic CT, biliary-pancreatic CT, appendix CT, genitourinary/gynecologic CT, and abdominal trauma CT. Mapping to SNOMED CT and ICD-10 was conducted on both the raw (uninterpreted) and clinically interpreted data. Raw data refers to the source terms extracted directly from the CT reports, whereas clinically interpreted data refers to source terms refined based on clinical knowledge. For example, "Spleen size, 13 cm" represents raw data, while "splenomegaly" represents the clinically interpreted version of the same information. Standard terminology browsers were employed to identify relevant codes, and the degree of semantic alignment was classified into three categories: exact match, broad match, and no match. Additionally, a Venn diagram was used to visualize the conceptual overlap and divergence between the two terminology systems, highlighting shared and unique mappings. 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

An Update on SNOMED CT Education Back 29 May 2019 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 International delivers a range of courses and learning pathways for beginners through to advanced users. Courses available on our SNOMED CT Courses Catalogue , include: SNOMED CT Foundation Course - Presents the why, what and how of SNOMED CT. This is a self-paced course available to start at any time. Curso de Fundamentos de SNOMED CT (Spanish) - Presenta el por qué, el qué y el cómo de SNOMED CT. Este es un curso de velocidad propia disponible para comenzar en cualquier momento. SNOMED CT Implementation Course - Teaches the SNOMED CT specific knowledge and skills required to implement a SNOMED CT enabled system. This is a 6-month course with hands-on activities and interactive online webinars with experienced tutors. SNOMED CT Authoring Level 1 Course - Teaches the knowledge and skills needed to perform basic SNOMED CT authoring tasks, including creating, editing and inactivating components. This is a 6-month course with hands-on activities on our SNOMED CT authoring platform, and interactive online webinars with experienced authors. SNOMED CT for Developers - A collection of E-Learning resources designed to teach software engineers how to leverage the capabilities of SNOMED CT. SNOMED CT for Data Analysts - A collection of SNOMED CT E-Learning resources designed to teach data analysts on how to use SNOMED CT to support clinical data analytics. Enrol in any of our courses by visiting https://courses.ihtsdotools.org . For further information, email elearning@snomed.org .

Cancer staging content from the American Joint Committee on Cancer will appear in SNOMED CT Back 6 Jul 2022 Back London, United Kingdom and Chicago, Illinois The American College of Surgeons (ACS) and SNOMED International have entered into a licensing agreement to include agreed upon American Joint Committee on Cancer (AJCC) references in SNOMED CT. The AJCC is administered by the Chicago-based American College of Surgeons. The focus of the agreement enables SNOMED International to include updated AJCC staging concepts critical to understanding cancer and treating patients, while eliminating outdated AJCC content no longer relevant to clinical care within SNOMED CT. The ACS is dedicated to improving the quality of care of surgical patients, including cancer patients requiring surgery, safeguarding standards of care in an optimal and ethical practice environment, and setting the standard for surgical care in the United States. Evidence-based anatomic staging is the critical factor to understanding cancer and treating patients and new breakthroughs are opening up ever-more promising possibilities for precisely defining a prognosis and recommending a treatment based on a patient's individual data. The AJCC has developed and compiled cancer staging references for quickly finding important information about different types of cancers. These references and tools are excellent resources for those treating patients with cancer. SNOMED International is an international not-for-profit organization that develops and promotes the use of SNOMED CT, 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 purpose of SNOMED International is to develop, maintain, promote, and enable the uptake and correct use of its terminology products in health systems, services and products around the world. Up to date AJCC content contributes to the comprehensive and quality assured nature of SNOMED CT for its Members, affiliates and stakeholders in the United States and globally. “Evidence-based anatomic staging is the critical factor to understanding cancer and treating patients. New breakthroughs in oncologic, radiologic, pathologic, and molecular science are opening up that need to be considered for keeping cancer staging information current and relevant to patients. The AJCC endeavors to consider all of these factors in keeping its staging content current. Moreover, as we continue to find ourselves on the other side of the COVID pandemic and move toward trying to get more patients screened and staged for cancer if needed, having the most current staging information available to more clinicians is essential. With this agreement, current AJCC cancer staging content will reach a much wider audience for these important purposes,” said Heidi Nelson, MD, FACS, Medical Director of ACS Cancer Programs. As of April 2022, the ACS and AJCC have enabled the inclusion of the Categories and all Allowable Values (i.e. cT1, cN0, cM0) from the AJCC cancer staging system into the International Edition release of SNOMED CT. Further, the agreement requires historical AJCC and related content, derived from the 5th and 6th editions of the staging manual, to be inactivated as outdated. The agreement with the ACS for AJCC content does not include the Criteria for these Categories and Allowable Values and any SNOMED CT user who requires definitions for AJCC Allowable Values will be directed by SNOMED International to the American College of Surgeons for the appropriate license. Within the scope of the agreement, both parties have committed to review and renew where appropriate its content annually. “Cancer’s many challenges can’t be solved without good collaboration. This agreement between the AJCC and SNOMED International will bring the latest evidence-based information on cancer staging to a wider clinical audience who can immediately apply it in their clinical practices. Ultimately, cancer patients beyond the U.S. will benefit from it too and more lives will be saved,” said Patricia L. Turner, MD, FACS, ACS Executive Director. SNOMED International CEO Don Sweete describes the recently signed licensing agreement with the American College of Surgeons as representative of the spirit of partnership and commitment to clinical quality growing globally. “The ability to produce comprehensive and clinically informed and assured standards across the breadth of healthcare domains is critical to the safe use of health information technology. The American Joint Committee on Cancer’s evidence-based work on anatomic staging is the critical factor to understanding cancer and treating patients and a significant addition to the SNOMED CT knowledge base.” With the finalization of the agreement, Dr. James Case, SNOMED International’s Chief Terminologist, speaks about the importance of the license. “The agreement brings us up to date on the current status of cancer staging, supports the needs of pathologists and oncologists as well as cancer registries, and enables us to maintain that currency.” A leading organization responsible for setting the standard of surgical care, the ACS and AJCC formalize this agreement with SNOMED International to broaden global awareness and adoption of cancer staging information. Evolving to become the international hub for all manner of health information standards, for SNOMED International, this agreement contributes to the organization’s support of growing pathology content in SNOMED CT. Visit the American College of Surgeons , the American Joint Committee on Cancer , and SNOMED International for more information.

Bart de Witte Opening Keynote Speaker Bart de Witte Keynote Speaker October 27, 2023 (09:00-10:00 EDT/ 13:00-14:00 UTC) (Sponsored by Clinical Architecture ) Dr. Campbell is the program director of the US Food and Drug Administration’s (FDA) Systemic Harmonization and Interoperability Enhancement for Laboratory Data (SHIELD) program – a public- private collaboration that was assembled in 2015 with a focus: improving the interoperability and utility of diagnostic data by “Describing the same test the same way anywhere in the Healthcare ecosystem”. Before joining FDA full-time, Dr. Campbell worked as Assistant National Director of Informatics for Kaiser Permanente, and as Director of Informatics Architecture for the US Department of Veterans Affairs (VA). With nearly 30-years of experience working in medical informatics and terminologies for encoding clinical data, Dr. Campbell has dedicated his career to improving clinical data representation and patient safety outcomes through the engineering of safer healthcare systems. Dr. Campbell’s dissertation work at Stanford University created the modern architecture for SNOMED, where he worked in collaboration with Kaiser Permanente and the College of American Pathologists to develop SNOMED RT. SNOMED RT was subsequently merged with the NHS Clinical Terms to form SNOMED CT in 2002. Dr. Campbell continued his involvement with SNOMED for over two decades in various roles, including as chair of the technical committee, and as a member of other editorial committees and groups. Dr. Campbell holds an MD from the University of Southern California and while completing his residency in Internal Medicine, obtained his PhD in Computer Science & Medical Informatics from Stanford University. Dr. Campbell’s work has received industry-wide recognition, including three FedHealthIT Innovation Awards, a FedHealthIT VA Hero of the week award, and the 2018 Open-Source Electronic Health Record Alliance (OSEHRA) Lifetime Achievement Award. Twitter handle: @kec4saferhealth Back

The Mental & Behavioural Health Clinical Reference Group needs you! Back 4 Jul 2019 Back The SNOMED International Mental and Behavioural Health Clinical Reference Group needs YOU! We are a small group of clinicians and informaticians - primarily from the United States - who have come together with the goal of improving the usability of SNOMED CT in EHR’s for patients with mental and behavioural health problems. We are seeking participation from healthcare professionals globally working in the behavioural, social and neurosciences, as well as anyone involved in the delivery of mental health care around the world. As we move forward, we will address concepts spanning the entire domain of mental, emotional, and social functioning. We are working together to draw up a draft plan for review and revision, where necessary, of existing content and identification of new content in SNOMED CT, based on international requirements. Come join us as we tackle the most complex and challenging concepts in all of healthcare: concepts related to elusive ideas about the human mind, brain, and behavior.For more information about SNOMED CT Clinical Reference Groups, please register for the CRG confluence space and see the work we are doing and reach out to us. Or contact us through info@snomed.org . We look forward to hearing from you!

The Patient Cohorting Tool has been developed to enable efficient and reproducible identification of patient populations for research data projects at Barts Health NHS Trust. The tool currently runs on a synthetic database and allows selection by demographic and clinical variables such as gender, ethnicity, age, admission dates, and disorders and findings using SNOMED. The tool is currently in the production phase, and work is underway to connect it to the data warehouse so that it can be applied to real-world datasets. Future work includes extending search criteria to incorporate medication records to extend the search capabilities of the tool. By combining clinical detail with user-friendly options, this tool supports faster, more transparent, and more reproducible research, helping teams focus on insights rather than data wrangling. Back View Map Bart's Health NHS Trust (1 of 3) A Patient Cohorting Tool for Scalable, Transparent, and Reproducible Research Read More Country / Region EMEA Tags Data analytics, Implementation, Innovation, Research, Tooling The Patient Cohorting Tool has been developed to enable efficient and reproducible identification of patient populations for research data projects at Barts Health NHS Trust. The tool currently runs on a synthetic database and allows selection by demographic and clinical variables such as gender, ethnicity, age, admission dates, and disorders and findings using SNOMED. The tool is currently in the production phase, and work is underway to connect it to the data warehouse so that it can be applied to real-world datasets. Future work includes extending search criteria to incorporate medication records to extend the search capabilities of the tool. By combining clinical detail with user-friendly options, this tool supports faster, more transparent, and more reproducible research, helping teams focus on insights rather than data wrangling. Description The Patient Cohorting Tool has been developed to streamline the identification of patient populations for research within Barts Health NHS Trust. Initially running on a synthetic dataset, the tool enables selection based on demographics and clinical criteria coded using SNOMED CT, with planned integration into the data warehouse to support real-world, scalable, and reproducible research. Scope SNOMED CT was chosen for its comprehensive clinical coverage, standardized representation of health concepts, and international adoption. Its use supports semantic consistency, interoperability, and reliable cohort identification across diverse datasets. How SNOMED CT will be used SNOMED CT terminology underpins the tool's clinical selection criteria, enabling searches for disorders and findings with consistent, standardized clinical coding. This allows researchers to define patient cohorts precisely and ensures that selections are interoperable and comparable across studies. 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