Over the past two years, we have developed FHIR specifications for electronic service requests, specifically targeting pathology and radiology. Collaborating with the peak organizations representing these fields—the respective Colleges—we established national requesting value sets based on SNOMED CT. The Colleges leveraged existing catalogues to identify necessary content and gaps within SNOMED CT. These catalogues were then published as FHIR Value Sets, defined using SNOMED CT reference sets. Our decision to adopt precoordinated SNOMED CT codes aimed to simplify implementation, enhance user experience, and minimize ambiguity, while maintaining robust support for decision support and analytics. To demonstrate the practicality of these specifications, we created FHIR Smart forms and other implementation prototypes that incorporated ECL to create responsive experience, facilitating user feedback and further refinement. Within these demonstrations SNOMED CT is also used for other data elements of the request along. Back View Map CSIRO (1 of 4) From Requesting to Results: Using SNOMED CT to within Electronic Diagnostic Requests Read More Country / Region APAC Tags Collaboration, Data quality, Expression constraint language, Implementation, Mapping, Pre/postcoordination Over the past two years, we have developed FHIR specifications for electronic service requests, specifically targeting pathology and radiology. Collaborating with the peak organizations representing these fields—the respective Colleges—we established national requesting value sets based on SNOMED CT. The Colleges leveraged existing catalogues to identify necessary content and gaps within SNOMED CT. These catalogues were then published as FHIR Value Sets, defined using SNOMED CT reference sets. Our decision to adopt precoordinated SNOMED CT codes aimed to simplify implementation, enhance user experience, and minimize ambiguity, while maintaining robust support for decision support and analytics. To demonstrate the practicality of these specifications, we created FHIR Smart forms and other implementation prototypes that incorporated ECL to create responsive experience, facilitating user feedback and further refinement. Within these demonstrations SNOMED CT is also used for other data elements of the request along. Description This work was part of the National Sparked eRequesting project - that is developing national specifications to be used across the whole of Australia. Scope SNOMED CT provided reasonable coverage, with mechanisms in place to promptly address any gaps. More importantly the underlying concept model can be exploited for decision support and analytics. How SNOMED CT will be used SNOMED CT is used to encode the content of diagnositic requests - primarily the service, but also specimens, sites and reason for presentation. The underlying FHIR Service Request resource is an international standard. 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

A new chapter powered by a global coalition: SNOMED International releases its 2020 Annual Report Back 20 Jun 2021 Back Since the date of issue, this information is now out of date and has been archived. It has been made available for reference. 2020 has been a year like no other in the world’s recent history. The COVID-19 pandemic has impacted the health and well-being of a global community, and, in doing so, has necessitated shifts in the way the world conducts business, engages with colleagues, and, at a personal level, connects with family and friends. The continued dedication and service of healthcare providers globally, despite the new demands placed on them as a result of the pandemic, cannot be overstated. SNOMED International’s 2020 Annual Report , “A new chapter powered by a global coalition,” demonstrates the vast breadth of progress made possible by the will of a growing and committed community. The start of the year was marked by the delivery of necessary COVID-19 terminology to equip healthcare systems globally in their management of the pandemic, an activity which continued steadily throughout the year. Further, 2020 marked the first year of a new five-year strategy, the focus of which tackled many imperatives for the organization’s product and services enhancement and innovation. The organization continued to strengthen its connections with Members through refreshed statements of the value SNOMED CT delivers to its complement of stakeholders, further underlining the case for investment in SNOMED CT — a product uniquely positioned to support innovation in medicine with artificial intelligence and personalized medicine playing an increasingly prevalent role in safe and informed care delivery. As SNOMED International continues to satisfy the mission and vision that guide its new strategy, the organization is energized by the desire for innovation and commitment to excellence observed from Members, governance bodies and the SNOMED CT Community of Practice. SNOMED International is proud of its collective achievements in 2020 and looks forward to sharing them with the global SNOMED CT community. Read SNOMED International’s 2020 Annual Report and contact info@snomed.org with inquiries. Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

IHTSDO releases Vendor Introduction to SNOMED CT Back 30 Apr 2015 Back IHTSDO is launching an extensive programme of vendor engagement underpinned by a comprehensive Vendor Engagement Strategy. As part of that, IHTSDO is pleased to publish its Vendor Introduction to SNOMED CT. The guide is targeted at people engaged in the development of electronic health record (EHR) systems and other related services and applications in healthcare information technology. It will also be of interest to a broader audience including anyone engaged in designing, developing, procuring, deploying, configuring or managing EHR systems and services. The Vendor Introduction to SNOMED CT provides an informative practical introduction to SNOMED CT focused primarily on the needs of vendors and developers of EHRs. It identifies key benefits for vendors arising from implementing SNOMED CT; provides a brief description of the key characteristics of SNOMED CT; acknowledges that the diverse nature of EHR systems, as well as the wide scope of SNOMED CT, means that there can be no universal approach for implementing SNOMED CT in systems; introduces ten ways in which SNOMED CT can be used in EHR systems; discusses potential SNOMED CT implementation strategies; covers a number of considerations that arise out of embedding SNOMED CT into an EHR system; describes the three types of license that govern use of SNOMED CT; provides links to many of the key resources for further learning about SNOMED CT, and offers high-level guidance on ways to deliver a positive user experience of SNOMED CT as part of an EHR system. The Vendor Introduction to SNOMED CT provides an authoritative introduction and points readers to other SNOMED CT documentation for detailed information. Basic information about SNOMED CT including its benefits can be found in the SNOMED CT Starter Guide. In-depth technical information can be found in the Technical Implementation Guide and other guides. All these and others are available from the SNOMED CT Document Library. The link to the Vendor Introduction to SNOMED CT, other SNOMED CT documentation and the SNOMED CT Document Library are below: Vendor Introduction Starter Guide Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

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 Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

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 . Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

The Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) has been monitoring disease incidence for fifty years and produces a weekly report with an emphasis on infectious respiratory disease. We collect data from over 2000 practices, representing 20 million patients or around a third of the population of England. Data is supplied using the UK Edition of SNOMED CT. Concepts to be extracted are defined using intensional valuesets using the “is a” hierarchy and can be expressed using the Expression Constraint Language. This can speed up the creation of valuesets and reduce the maintenance required. Inactivated concepts are included using the association refset, although this is by no means infallible and requires manual review Back View Map University of Oxford Surveillance of acute respiratory infection using SNOMED CT expression in Expression Constraint Language with routinely collected primary care data in England Read More Country / Region EMEA Tags Data analytics, Expression constraint language, Research, Tooling The Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) has been monitoring disease incidence for fifty years and produces a weekly report with an emphasis on infectious respiratory disease. We collect data from over 2000 practices, representing 20 million patients or around a third of the population of England. Data is supplied using the UK Edition of SNOMED CT. Concepts to be extracted are defined using intensional valuesets using the “is a” hierarchy and can be expressed using the Expression Constraint Language. This can speed up the creation of valuesets and reduce the maintenance required. Inactivated concepts are included using the association refset, although this is by no means infallible and requires manual review Description We provide a national sentinel surveillance system using routinely collected primary care data. The main priority is infectious respiratory diseases – particularly acute respiratory infection. We have created a hierarchy of clinical conditions, defined using SNOMED CT, to identify disease and produce a weekly report which will typically show changes in the pattern of disease more quickly that lab based measures. The hierarchy allows both a granular view of disease, e.g. rates of bronchiolitis, or influenza-like illness, or a more general picture of acute respiratory infection. Individual primary care practices in England have agreed that anonymised data can be sent Data is received from practice computerised medical record (CMR) systems twice weekly to the database and the report is generated from this. Data is also sent to the United Kingdom Health Security Agency (UKHSA) and forms part of their public health function. Scope Snomed CT has been the standard for primary care data in England since 2018. At that time all previous data in Read 2 or CTV3 was mapped to Snomed, although one system continues to use CTV3 internally. Snomed was therefore essential to this programme. An intensional approach, using the Snomed Expression Constraint Language was selected as there was a reduction in the amount of maintenance of the valuesets that would be required as new editions of Snomed were released. Surveillance is a continuous process so a definition could be used weekly for a number of years and several different versions of Snomed. Whilst we have found that some review of changes is essential this is less than would be required if extensional valueset were used. The existence of the Historical Association Refset further allows the automatic selection of inactive concepts that may still appear in the CMR. This can be very useful, although, at times, this can also be difficult to manage. How SNOMED CT will be used Data from primary care is supplied using the UK edition of SNOMED CT. This is a combination of historic data from before 2018 which has been mapped from Read v2, current data mapped from CTV3 and data directly entered with SNOMED CT. There is a small amount of metadata about encounters with the practice and some patient demographic details. We used valueset for conditions which use the “is a” hierarchy from SNOMED CT. These will automatically incorporate changes that are made in the UK edition (i.e. the International Edition with the UK Extension). These are authored using an internally developed helper tool which is hosted on the same server as our data. The valuesets are used alongside clinical logic to define an episode of disease. If two values from a valueset have been used within seven days of each other we consider that a single episode, starting with the earliest code entry We use these valuesets to create a hierarchy of conditions, from the most specific to the most general. A patient may appear in more than one category at the lower level so that the total across each level may be different. We seek to avoid having inactive terms in the definition. However, we do want to include inactive terms in the final list. Whilst they may not be available for use (and with mapped terms even that is not certain) they will remain in the record and need to be included in the extraction. We use the Historical Association Refset to find concepts equivalent to the active concepts that have been selected. This is equivalent to the {{+HISTORY-MOD}} expression in ECL. A selection of valuesets have been uploaded to the NHS Terminology Server, which are available (after signing up) for anyone to use. 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

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 . Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

A dedicated terminology to support the International Patient Summary Back 5 May 2022 Back Since the date of issue, this information is now out of date and has been archived. It has been made available for reference. Towards the end of 2021, SNOMED International shared its intention to extend the core of SNOMED CT’s structured clinical terminology to deliver an open, standalone terminology in support of the scope of content within the International Patient Summary (IPS) for non-Members. The IPS is an electronic health record extract containing essential healthcare information for use in circumstances where citizens may travel from their home country and require unscheduled and unanticipated health care from a different jurisdiction, as well as for local, regional and other care scenarios. It is a minimal, non-exhaustive set of data elements defined by ISO/EN 17269 and delivered by HL7 in both CDA and FHIR using a curated set of SNOMED CT terms. Readily usable by clinicians, the primary use case for the IPS is to support cross-border and unscheduled patient care. However, it also has the potential to be used in many other scenarios where a patient crosses health information systems, such as travel between provinces/states, cities or organizations that use a different Health Information System and require a summary for immediate care. Since 2019, and predating the Organization’s IPS Terminology initiative, SNOMED International has made a free set of SNOMED CT codes available (the HL7 IPS free set), as part of its Global Patient Set (GPS) to support the implementation of the HL7 FHIR IPS specification . With a scope that differs from the GPS, a flat list of SNOMED CT codes and terms without hierarchy or relationships, the IPS Terminology will provide implementers with a product that can be used in healthcare solutions using the power of SNOMED CT through its query language and hierarchies for the specified scope of the IPS. The IPS Terminology is the next evolution of the HL7 IPS free set, providing advanced terminology features for non-Affiliates to use in their IPS implementations. In the first months of 2022, SNOMED International has been configuring its approach to making the IPS Terminology a tangible artifact in its lineup of SNOMED CT-driven products and services. Released in its beta version for focused stakeholder testing and feedback, the IPS Terminology will be accompanied by a User Guide to aid implementers in non-Member regions in their understanding of the features, capabilities, and limitations of the IPS Terminology package. Providing an overview of the IPS Terminology's scope and features, the Guide will also provide IPS Terminology use cases as well as direction on how to implement the IPS Terminology in a terminology server, and on how to upgrade to a full SNOMED CT edition if additional terminology content is required. It is worth noting that current SNOMED CT users, those located in a SNOMED International Member region or those with an Affiliate license to a complete SNOMED CT edition, should avoid use of the IPS Terminology and instead, implement their IPS solutions using a full edition of SNOMED CT. To share IPS data with non-Affiliates, licensed users may choose to refer to the IPS Reference Set. This reference set identifies the subset of key concepts from the IPS Terminology and is available as a supplementary package from SNOMED International's MLDS service . Contact releases@snomed.org for information on how to review the IPS Terminology as well as information on the mechanisms and timelines for providing feedback. To view the IPS Terminology via browser, visit https://ips-browser.snomedtools.org/ . Subscribe to the Organization’s news service to learn more as this initiative progresses. For additional information, 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

SNOMED International releases an open terminology to broaden clinical data interoperability Back 30 Nov 2022 Back London, United Kingdom -- Roughly one year ago, SNOMED International declared its intention to extend the core of SNOMED CT’s structured clinical terminology to deliver an open, standalone terminology in support of the International Patient Summary (IPS) for non-SNOMED International Members. The organization has now issued the first production release of SNOMED International’s IPS Terminology that adds the hierarchy, defining relationships and extra synonyms from the SNOMED CT International Edition to form a sub-ontology of SNOMED CT that can be loaded into a terminology server for the specified scope of the IPS. The IPS itself is an extract of an electronic health record containing essential healthcare information to support cross-border and unscheduled patient care. The IPS also has the potential to be used in many other scenarios where a patient crosses health information systems, like travel between provinces/states, cities or organizations that use a different Health Information System. From a technical perspective, the IPS is a minimal, non-exhaustive set of data elements defined by ISO/EN 17269 and delivered by HL7 in both CDA and FHIR using a curated set of SNOMED CT terms. Since 2019, predating the organization’s IPS Terminology initiative, SNOMED International has made a free set of SNOMED CT codes available (the HL7 IPS free set), as part of its Global Patient Set (GPS) to support the implementation of the HL7 FHIR IPS specification . The GPS is a ‘flat list’ of SNOMED CT codes and terms without hierarchy or relationships, whereas the IPS Terminology brings all the benefits of the SNOMED CT structure. CEO Don Sweete shares his insights on how the IPS and the IPS Terminology are relevant in today’s changing global healthcare environment. “In response to the interest that governments globally have shown in implementing the IPS to enhance timely cross border health information flow and interoperability, SNOMED International has prioritized the creation and release of the IPS Terminology, openly available with content from SNOMED CT.” He continued on to state that, “We are at a point where enabling digital healthcare systems worldwide to work together seamlessly is critical. To advance these efforts, we have chosen to dedicate our resources to achieve the goal of interoperability by equipping the IPS, already one of the best examples of international collaboration among standards bodies, with the full capabilities that SNOMED CT offers. We will continue our collaborative efforts in this space as the needs of global health care systems continue to evolve.” Throughout 2022, SNOMED International has been configuring its approach to making the IPS Terminology a tangible artifact in its lineup of products and services. First released in its beta version in April 2022 for focused stakeholder testing and feedback, the IPS Terminology is accompanied by a User Guide to support implementers in non- Member regions to understand the features, capabilities and limitations of the IPS Terminology package. Providing an overview of the IPS Terminology's scope and features, the Guide also provides IPS Terminology use cases as well as direction on how to implement the IPS Terminology in a terminology server, and how to upgrade to a full SNOMED CT edition if additional terminology content is required. Watch global experts discuss the IPS, Global Digital Health Partnership and the IPS Terminology at the recent SNOMED CT Expo 2022 . It is worth noting that current SNOMED CT users, those located in a SNOMED International Member region or those with an Affiliate license to a complete SNOMED CT edition, should avoid use of the IPS Terminology and instead, implement their IPS solutions using a full edition of SNOMED CT. To share IPS data with non-Affiliates, licensed users may choose to refer to the IPS Reference Set. This reference set identifies the subset of key concepts from the IPS Terminology and is available as a supplementary package from SNOMED International's MLDS service . Visit SNOMED International to download the IPS Terminology and related resources . To view the IPS Terminology via browser, visit https://ips-browser.snomedtools.org/ . Subscribe to the organization’s news service to learn more as this initiative progresses. For additional information, 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

Te Aho o Te Kahu (Cancer Control Agency) in collaboration with Health New Zealand - Te Whatu Ora in New Zealand is designing national standards for sharing cancer data across the healthcare system. This presentation will focus on the molecular and immunohistochemistry aspects of this work, which support the sharing of ancillary study results from the pathology labs to medical oncologists, haematologists, and radiation oncologists. These test results are crucial in supporting the diagnosis and treatment of cancer patients. We will describe our unique approach to modelling these genetic test results that supports the appropriate level of detail required by both structured pathology reports and cancer treatment clinicians. Back View Map Te Aho o Te Kahu (Cancer Control Agency) Modelling Molecular and Immunohistochemistry Tests for Cancer Care Read More Country / Region APAC Tags Clinical Practice, Data analytics, Data quality, Genomics, Innovation, Research Te Aho o Te Kahu (Cancer Control Agency) in collaboration with Health New Zealand - Te Whatu Ora in New Zealand is designing national standards for sharing cancer data across the healthcare system. This presentation will focus on the molecular and immunohistochemistry aspects of this work, which support the sharing of ancillary study results from the pathology labs to medical oncologists, haematologists, and radiation oncologists. These test results are crucial in supporting the diagnosis and treatment of cancer patients. We will describe our unique approach to modelling these genetic test results that supports the appropriate level of detail required by both structured pathology reports and cancer treatment clinicians. Description CanShare is a national project, developed by Te Aho o Te Kahu (Cancer Control Agency) in collaboration with Health New Zealand - Te Whatu Ora in New Zealand, to share cancer data using SNOMED CT and HL7 FHIR. The CanShare team is developing SNOMED CT enabled datasets to collect and share cancer data, including structured pathology requests and reports, genetic testing, surgical notes, systemic anti-cancer therapy, radiation oncology treatment, cancer registries, screening and more. Scope SNOMED CT was selected for a number of reasons. Firstly it is both a New Zealand national standard and an international standard. Secondly, it is the only terminology with the breadth and depth to standardise the wide range of cancer data that needs to be shared. Thirdly, SNOMED CT's semantic definitions enable advanced use of the data, including data reuse, data analytics and clinical decision support. How SNOMED CT will be used SNOMED CT value sets have been developed for a range of cancer-related data, including cancer types, morphologies, body sites, observables, test results, cancer grading, staging, prognostic factors, scoring, treatment intents, disease responses, and more. Observable entity and clinical finding templates are used to author new, fully defined molecular and immunohistochemistry tests and results (respectively). This includes gene mutations, gene amplifications, genetic rearrangements and mismatch repair deficiency. Our use of SNOMED CT is driven by clinical use cases, including sharing structured pathology reports, systemic anti-cancer therapy care plans, radiation oncology treatment and surgical notes. SNOMED CT is being used as: * A reference terminology to integrate data from different data silos and share clinical information between healthcare providers. * An interface terminology in vendor systems (using the CanShare language reference set), and * A source of semantic definitions for data analytics (using ECL queries on the New Zealand Health Terminology Service, NZHTS). 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

Description of the work process in Stockholm for a regional standard for tubes, drains and catheters as well as fluid balance. This standard has been implemented in two health care information systems with an existing integration between the main electronic health record system and the PDMS used in intensive, neonatal, postoperative and anesthesia care. Lessons learned from Snomed CT terminology binding and integration process enabling transfer of info from PDMS to main EHR system. Back View Map Karolinska University Regional standard and terminology binding for Tubes, Drains, Catheters, and Fluid Balance: A Unified Framework for Medical Practice and Communication Read More Country / Region EMEA Tags Clinical Practice, Implementation, Mapping, Patient safety Description of the work process in Stockholm for a regional standard for tubes, drains and catheters as well as fluid balance. This standard has been implemented in two health care information systems with an existing integration between the main electronic health record system and the PDMS used in intensive, neonatal, postoperative and anesthesia care. Lessons learned from Snomed CT terminology binding and integration process enabling transfer of info from PDMS to main EHR system. Description The scope was to create a regional standard for documentation of tubes, drains, catheters and fluid balance to enable a common terminology between the systems, facilitate documentation and information transfer between systems and enhance quality improvement and research. Scope In Stockholm we have a strategy which states that SNOMED CT shall be used as the main terminology standard for clinical information. How SNOMED CT will be used In the project conceptual models were created which were then used as a basis for SNOMED CT terminology binding. The standard, conceptual models and terminology binding can also be utilised for future integrations. Why SNOMED CT will be used Contact More information Learn more Get SNOMED CT Information about our license and fee structure Learn more Learn more Explore the wide range of resources available to our community of practice Subscribe to SNOMED International news Stay up to date on SNOMED news, features, developments and newsletters by subscribing to our news service. Subscribe

The German Oncological Core Dataset (named "Onkologischer Basisdatensatz" in German or short: oBDS) is used across Germany 15 regional cancer registries to collect structured data. However, no health IT standards‚ neither syntactic nor semantic‚is used in the oBDS. We present lessons learned from a feasibility study aiming to standardize the oBDS using SNOMED CT, a globally recognized, polyhierarchical medical terminology. An interdisciplinary team mapped independently 554 oBDS elements organized in 19 modules to SNOMED CT and assessed the consistency and quality of these mappings using statistical measures such as Krippendorff's Alpha and ISO scores, while also documenting concepts that could not be represented. The findings indicate that SNOMED CT is fundamentally suitable for the semantic standardization of oBDS, though certain context-specific challenges persist. The study underscores the need for further harmonization, especially through targeted expansion of SNOMED CT to better support oncological registry data and highlights that standardized terminologies can enhance data quality and interoperability in cancer registration and research. Back View Map Charité Berlin / Berlin Institute Of Health (2 of 2) Standardizing Germany's Oncological Core Dataset with SNOMED CT:Lessons learned from a feasibility study Read More Country / Region EMEA Tags Implementation, Mapping, Research The German Oncological Core Dataset (named "Onkologischer Basisdatensatz" in German or short: oBDS) is used across Germany 15 regional cancer registries to collect structured data. However, no health IT standards‚ neither syntactic nor semantic‚is used in the oBDS. We present lessons learned from a feasibility study aiming to standardize the oBDS using SNOMED CT, a globally recognized, polyhierarchical medical terminology. An interdisciplinary team mapped independently 554 oBDS elements organized in 19 modules to SNOMED CT and assessed the consistency and quality of these mappings using statistical measures such as Krippendorff's Alpha and ISO scores, while also documenting concepts that could not be represented. The findings indicate that SNOMED CT is fundamentally suitable for the semantic standardization of oBDS, though certain context-specific challenges persist. The study underscores the need for further harmonization, especially through targeted expansion of SNOMED CT to better support oncological registry data and highlights that standardized terminologies can enhance data quality and interoperability in cancer registration and research. Description The German Oncological Core Dataset (‚ÄúOnkologischer Basisdatensatz‚Äù short: oBDS) is used in Germany for the structured collection of cancer registry data across all regional cancer registries. This feasibility study analyzes the overall coverage of SNOMED concepts and evaluates current state of SNOMED CT precoordinated concepts as a potential candidate for international and interoperability, as well as providing the German National Release Center with specific suggestions for needed concepts and translations. Scope SNOMED CT is a polyhierarchy covering a large spectrum of clinical concepts such as diagnoses, procedures, side effect symptoms, body structures etc. As there are already many national translations available and used among the European countries, it is likely a candidate for an overarching terminology to be used in the European Health data space. A future exchange of health data will likely be realized via the HL7 FHIR Exchange Standard. However, SNOMED CT concepts can be used for semantic annotation of clinical ressources or for defining specific ValueSets. How SNOMED CT will be used Data elements of the oBDS data responses were mapped to SNOMED CT by four individual mappers using only precoordinated concepts; Mapping with post-coordinated concepts is planned in future iterations. Individual mapping quality was assessed using ISO Scoring. In addition, mapping heterogenity was assessed via intercoder agreement, comparing a classical Krippendorff's alpha approach with a semantically weighted Krippendorff's alpha, using a similarity matrix of SNOMED CT graph distances of two concepts as foundation for a similarity analysis. 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