Apelon, Inc. Back Apelon, Inc. Vendor Overview Apelon is an international informatics company offering professional services and software for terminology creation, deployment, mapping and maintenance. As terminology creation gives way in the marketplace to terminology deployment, our focus is on helping enterprises use their terminologies and their homegrown or third-party software to improve health and health care delivery. We've been working with controlled vocabularies for more than 20 years, and our consulting team boasts two SNOMED Consultant Terminologists and a SNOMED Implementation Advisor. SNOMED CT-enabled solutions Every project we undertake at Apelon considers SNOMED CT! Apelon's open source DTS terminology server (http://apelondts.org ) is used for terminology managements by governments, providers, pharmaceutical companies, EHR vendors and starving students for its easy-to-use interface and powerful APIs (Java, SOAP, FHIR). Scope of services Analytics, Chronic disease, Clinical coding, Clinical documentation, Diagnostic imaging, Drug, EHR, EMR, Lab, Middleware, Oncology, Order sets, Pharmacy, Telehealth Downloadable documents Office 750 Main Street, Suite 1500 Hartford CT 06103 USA http://www.apelon.com Contact details John S. Carter Vice President, Sales and Services +1 801 953 9815 sales@apelon.com Regions where operational Africa, Asia, Europe, Global, North America, Oceania, South America

The newly released 2023 Products & Services Catalog provides a complete list of our clinical terminology products, including tools, supporting services, and education. 2023 Products & Services Catalog features expanded implementation support services updated tooling The newly released 2023 Products & Services Catalog provides a complete list of our clinical terminology products, including tools, supporting services, and education. Back 19 Jan 2023 Back Each January, we publish an updated catalog of our SNOMED CT related products and services. The recently released 2023 Products & Services Catalog provides an overview of SNOMED International and our customers and stakeholders, and a comprehensive list of our clinical terminology products, including tools, supporting services and education. The document also includes a section on the value of SNOMED CT, with links to additional information such as case studies and videos. Available online and as a downloadable PDF file, the catalog features a section guiding you to the content most relevant to you, whether you are a new or long-term Member, an implementer in a non-Member country, a vendor, a clinician or part of one of our other stakeholder groups. It also highlights our global customer and stakeholder team available to support the use of SNOMED CT. What’s new this year? This year’s catalog features an expanded section outlining our implementation services, a reflection of the organization’s increased efforts on supporting Members throughout their entire implementation journey. The tooling section, which encompasses the software and services SNOMED International offers, is also more extensive and detailed than in last year’s catalog. Get involved Interested in learning more about or participating in our ever-expanding community of practice? Check out the link on the back cover, which takes you to our website listing the many opportunities SNOMED International offers to learn more about and participate in the development, improvement and maintenance of SNOMED CT, such as in a clinical reference or project group, or as a participant in our clinical, research and implementation webinar series or at other SNOMED International events, such as our yearly Expo and twice-yearly business meetings. “SNOMED International provides a wealth of information, learning resources, tools and documentation, all designed to support users wherever they are now and wherever they are headed in their SNOMED CT journey,” explains SNOMED International Chief Customer Officer Shelley Lipon. “Our Products & Services Catalog helps all our stakeholders better understand what is available to them and where to find those resources. It’s also exciting to see how the document continues to grow and further support all our stakeholders each year.”

High-quality clinical terminologies are essential for a connected and efficient healthcare ecosystem. Previous studies have shown the impact of quality issues on downstream applications, such as reduced recall and precision in cohort queries over EHRs. The literature presents several proposals to detect and/or resolve these quality issues. While these proposals typically employ either a lexical, structural, or machine learning-based approach, some combine different techniques to address the issues. This presentation outlines a series of experiments we conducted to improve the quality and clinical accuracy of the SNOMED CT terminology by identifying key areas for enhancement and proposing AI-enabled methods to automate the detection and correction of structural anomalies, such as primitive, misaligned, missing, and redundant concepts. Back View Map IQVIA Addressing SNOMED CT Structural Anomalies Through AI -Enabled Methods Read More Country / Region EMEA Tags Artificial intelligence, Data quality, Research High-quality clinical terminologies are essential for a connected and efficient healthcare ecosystem. Previous studies have shown the impact of quality issues on downstream applications, such as reduced recall and precision in cohort queries over EHRs. The literature presents several proposals to detect and/or resolve these quality issues. While these proposals typically employ either a lexical, structural, or machine learning-based approach, some combine different techniques to address the issues. This presentation outlines a series of experiments we conducted to improve the quality and clinical accuracy of the SNOMED CT terminology by identifying key areas for enhancement and proposing AI-enabled methods to automate the detection and correction of structural anomalies, such as primitive, misaligned, missing, and redundant concepts. Description The experiments we carried out aimed to address structural anomalies, such as primitive, misaligned, missing, and redundant concepts. Primitive concepts are those not fully defined by necessary conditions, making it impossible to automatically classify them or their subtypes into the hierarchy unless a sufficient condition exists for that concept. Intermediate primitives serve as both parents and children within the hierarchy, posing a challenge due to the manual effort they require. Misaligned concepts arise when the modelling of concepts does not follow the template for that sub-hierarchy, likely indicating inconsistent modelling within a sub-hierarchy. The missing concept anomaly refers to gaps where certain concepts that should logically exist within the hierarchy are absent, hindering accurate data representation and retrieval. The redundant concept anomaly occurs when multiple concepts essentially represent the same clinical idea, causing confusion among users, increasing clinical data fragmentation, and complicating the aggregation and analysis of information, along with the extra effort needed to maintain and update the terminology. Our experiments explored AI-enabled approaches, combined with lexical and logical-based techniques, to enhance the quality and clinical accuracy of the SNOMED CT terminology by identifying key areas for improvement and methods to automate the detection and correction of structural anomalies. The presentation will detail these approaches, the methods applied, the tools used, the outcomes achieved, and the lessons learned from the experimentation. A guideline for applying the more promising methods in real-world terminology authoring will also be outlined to conclude. Scope SNOMED CT is a widely used, multilingual clinical healthcare terminology that standardizes medical terms in electronic health records (EHRs). It enables healthcare providers to accurately document patient conditions, treatments, and outcomes using standardized terms, ensuring consistent recording and understanding of clinical information across various systems and locations. This standardization supports the seamless exchange of health information between healthcare providers and systems, facilitating coordinated patient care and public health reporting. Researchers also benefit, as it allows them to query and analyse large datasets of clinical information, leading to more reliable research outcomes through precise cohort identification and data analysis. Meanwhile, previous studies have shown the impact of quality issues on downstream applications. In conclusion, SNOMED CT is the perfect candidate for evaluating new techniques to address quality issues, given its comprehensiveness and crucial role in healthcare. How SNOMED CT will be used The SNOMED CT clinical terminology was chosen as the focus of our experiments aimed at assessing AI-driven methods to enhance its quality and clinical accuracy by automating the detection and correction of structural anomalies. 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

SNOMED International announces cancellation of 2020 April Business Meetings Back 9 Mar 2020 Back SNOMED International extends our thanks to you for your patience as we have continued to monitor the developing situation with COVID-19 (coronavirus). Made apparent by recent reports from the World Health Organization and the Centers for Disease Control and Prevention, there is no doubt that the virus continues to spread globally. In collaboration with the General Assembly Executive, the organization has been constantly involved in discussion over the past few weeks regarding the present situation. We have now made the difficult decision to cancel the face to face 2020 April Business Meetings to protect the health of our Community and do our part to prevent the spread of this outbreak. In place of the Community Updates session, we will provide you with a document outlining the headlines from the organization since October 2019 that you can review and then pose your follow up questions with organization representatives. While we are not rescheduling these meetings, we will support meetings to go ahead virtually where possible and be in touch with relevant participants. At this point, we plan to next convene face to face in Portugal, October 2020. We thank you for your ongoing support and encourage you to reach out to us with any questions or inquiries you have as a result of this decision.

Croatia's representative to SNOMED International is the Croatian Ministry of Health Croatia Croatia's representative to SNOMED International is the Croatian Ministry of Health Contact Details Croatian Ministry of Health Website: https://zdravstvo.gov.hr Email: pitajtenas@miz.hr Appointed Representatives General Assembly: Srebrenka Mesić Member Forum: Andreja Matkun, Višnja Antolković Ilić News articles Croatia prioritizes the quality and structure of ehealth data with SNOMED membership With a population of nearly 4 million, Croatia is the latest European country to join SNOMED International since the March 2022 announcement that the European Union (EU) will provide its Member States with 60 per cent funding towards SNOMED International membership until 2027, via the European Health and Digital Executive Agency (HaDEA). “Highly developed with a fully integrated, globalized economy, Croatia made eHealth a priority in its 2021-2027 national health development plan , which is consistent with our comprehensive healthcare reform," says Croatian health Minister Vili Beroš on the occasion of Croatia joining SNOMED International. The goals of the strategy include 36 measures in five categories: improved healthy lifestyles and more effective disease prevention; improvement of the health system; improvement of the model of care for key health challenges; making the health system a desirable place to work; and improving the financial sustainability of the health system. Learn more about the Croatian Ministry of Health's SNOMED CT approach. 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

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

Information models define the logical structure of data, information, and knowledge, and include explicit bindings of standard codes to nodes in the data structure. Experience has shown that both the logical structure and the codes are necessary to allow unambiguous and computable representation of real world data. Because information models are logical models, they are independent of any specific data exchange syntax, and they can be used to automatically generate exchange formats like HL7 V2.X, HL7 C-CDA, and HL7 FHIR. Standard codes are bound to nodes in the data structure, and the meaning of a given code inherits context from its containing model. For instance, if a code for serum glucose concentration is used in an order model it means that a glucose measurement is requested, whereas, if the same code is used in a result model, it is the name of the result of the measurement. Using information models can dramatically reduce the number of codes in a terminology system because it prevents the creation of highly pre coordinated codes; post coordination of more generic codes can be used instead. This session will provide the basics of information modeling, explain its benefits, and provide an introduction to information modeling activities like openEHR, the HL7 Clinical Information Modeling Initiative, and the Graphite S2 approach. Back View Map Regenstrief - LOINC Information Models and Terminology: Two Essential Elements of Semantic Interoperability Read More Country / Region Americas Tags Implementation, Innovation, Mapping, Pre/postcoordination, Research Information models define the logical structure of data, information, and knowledge, and include explicit bindings of standard codes to nodes in the data structure. Experience has shown that both the logical structure and the codes are necessary to allow unambiguous and computable representation of real world data. Because information models are logical models, they are independent of any specific data exchange syntax, and they can be used to automatically generate exchange formats like HL7 V2.X, HL7 C-CDA, and HL7 FHIR. Standard codes are bound to nodes in the data structure, and the meaning of a given code inherits context from its containing model. For instance, if a code for serum glucose concentration is used in an order model it means that a glucose measurement is requested, whereas, if the same code is used in a result model, it is the name of the result of the measurement. Using information models can dramatically reduce the number of codes in a terminology system because it prevents the creation of highly pre coordinated codes; post coordination of more generic codes can be used instead. This session will provide the basics of information modeling, explain its benefits, and provide an introduction to information modeling activities like openEHR, the HL7 Clinical Information Modeling Initiative, and the Graphite S2 approach. Description The scope is all information modeling activities related to the representation of health and biomedical data, information, and knowledge. Scope SNOMED CT is the best source of codes for conditions, diagnoses, body parts, specimen types, substances, health interventions, etc. How SNOMED CT will be used Elements and nodes in the information model are explicitly bound to SNOMED CT concepts, or to value sets of SNOMED CT 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

American Dental Association Back American Dental Association Clinical Partner The American Dental Association (ADA) is not-for-profit and the largest professional association for dentistry in the United States, representing more than 157,000 dentist members. It is the premier source of oral health information in the United States, if not the entire world, and has advocated for the public’s health as well as promoted the art and science of dentistry since 1859. It has developed and continues to develop the SNODENT dental diagnostic code set. Additional information In 2012, ADA and IHTSDO signed a Cooperation Agreement which focused on aligning the content of SNODENT and SNOMED CT, where appropriate, and also saw the instigation of the IHTSDO International Dentistry Special Interest Group (SIG), now called the Dentistry Clinical Reference Group . This Cooperation Agreement was updated to a Collaboration Agreement in April 2016 focusing on agreed joint work, including: Development of a SNOMED CT General Dentistry Diagnoses Subset Release and maintenance of this SNOMED CT General Dentistry Diagnoses Subset Ongoing provision of Subject Matter Experts by ADA Support for maintenance and updating of the linkage between SNOMED CT and SNODENT at respective releases The SNOMED CT General Dentistry Diagnoses Refset is now released and updated annually in line with the July release of SNOMED CT. It is worth noting that the Dentistry Clinical Reference Group has also produced an Odontogram refset which is also available through SNOMED International and aligns with SNODENT where appropriate. These refsets have been included in the scope of SNOMED International's Global Patient Set . Press Release: April 2016: New agreement between ADA and SNOMED International

Malaffi sets a regional benchmark with its comprehensive SNOMED CT enabled HIE implementation in the Middle East and North Africa Back 20 Oct 2025 Back Malaffi achieves comprehensive SNOMED CT implementation within the MENA region M42’s Abu Dhabi Health Data Services (ADHDS), through its flagship Health Information Exchange (HIE), Malaffi , has achieved a significant milestone in advancing clinical data standardization across the Emirate of Abu Dhabi. This large-scale implementation represents the first comprehensive deployment of SNOMED CT within a Health Information Exchange in the Middle East and North Africa (MENA) region, marking a major step toward establishing semantic interoperability across healthcare systems. SNOMED International has acknowledged ADHDS’s leadership and commitment to improving the quality, consistency, and usability of clinical data. The implementation demonstrates how structured terminology and data governance frameworks can work together to enhance the exchange and meaning of health information across a complex, multi-provider ecosystem. Through this initiative, SNOMED CT has been integrated into multiple clinical domains within Malaffi, including diagnoses, allergies, chronic diseases, family and social history, and diagnostic procedures. This comprehensive coverage ensures consistent and accurate representation of clinical concepts across the Emirate’s healthcare providers, supporting a unified approach to health information management. By embedding SNOMED CT directly within electronic medical record (EMR) systems, ADHDS has introduced a sustainable and cost-effective model for data standardization, eliminating reliance on third-party terminology servers. The resulting improvement in data quality at the source enables a range of downstream benefits, including enhanced clinical decision support, AI-driven analytics, and population health management. According to SNOMED International Chief Executive Officer Don Sweete, “Abu Dhabi Health Data Services and Malaffi have set an important precedent for how clinical terminology can transform health data quality and interoperability. Their achievements illustrate the impact of strong regulatory alignment, dedicated implementation expertise, and continuous improvement in realizing the promise of digital health.” The implementation was supported by a robust policy and regulatory environment, guided by the Department of Health – Abu Dhabi, which established coding standards and frameworks for system-wide adoption. This alignment, together with the UAE’s membership in SNOMED International, provided a solid foundation for sustainable and scalable implementation. Beyond improving interoperability, the structured clinical data generated through Malaffi’s SNOMED CT implementation provides a foundation for the next generation of data-driven healthcare in the region. It supports predictive modeling, personalized medicine, and real-time population health monitoring, aligning with Abu Dhabi’s broader vision for an AI-enabled health system. This collaboration between SNOMED International and ADHDS exemplifies how international clinical standards can be applied at scale to strengthen digital health ecosystems. The initiative not only advances the quality of care within Abu Dhabi but also serves as a reference point for other health systems in the Middle East and globally seeking to achieve similar goals in data quality, interoperability, and digital transformation. Visit SNOMED in Action to read the Malaffi case study .

BLOG: Engaging our community to improve the clinical quality and consistency of SNOMED CT’s Radiology hierarchy Back 27 Jul 2023 Back SNOMED CT is constantly evolving and improving, thanks to the efforts and engagement of our many different stakeholder communities. In this Q&A, SNOMED International Chief Terminologist Dr. Jim Case and Senior Terminologist Maria Braithwaite discuss an initiative to improve the clinical quality and consistency of the Radiology hierarchy – why changes are being made, who among our stakeholders we are working with and how it will contribute to improved clarity and consistency in SNOMED CT – and better outcomes for patients. Q: What is the issue with the current hierarchy and how has that affected users? A: There is a long-standing inconsistency with the subtypes of 363680008|Radiographic imaging procedure (procedure)| with the Fully Specified Name (FSN) varying between: ‘Radiography of X,’, ‘X-ray of X,’, ‘Plain X-ray of X.’ There are many examples where all of these terms are applied synonymously to the same concept, which can obviously lead to confusion. As well, the modeling for these concepts is inconsistent where the value for the method attribute does not align with the FSN, a type of description which uniquely and fully captures the meaning of the clinical idea. As this is a highly used content area affecting a significant number of users, t hese naming and modeling issues have resulted in suboptimal subsumption in descendants of 363680008|Radiographic imaging procedure (procedure). For example, 268425006|Pelvis X-ray (procedure) has the FSN 'X-ray' but is modeled with imaging action 278110001 |Radiographic imaging - action (qualifier value)|. If 268425006|Pelvis X-ray (procedure) is remodeled to align with the FSN and the imaging action of 312254007|Plain X-ray imaging - action (qualifier value), this will result in equivalency between 268425006|Pelvis X-ray (procedure) and 713021002|Plain radiography of pelvis (procedure), which is currently a subtype. Q: What changes are being proposed? A: The proposed changes to the hierarchy are not minor. We need to differentiate between a plain X-ray and imaging procedures that utilize radiographic imaging in its broadest application. We are proposing revisions to both the descriptions and model for in-scope subtypes of 363680008|Radiographic imaging procedure (procedure)| namely, concepts with descriptions “Radiography of X,” “X-ray of X” and “Plain X-ray of X.” Q: What is your goal? A: SNOMED International’s goal is to improve the quality of content in this hierarchy by: Implementing a consistent description pattern for the FSN and preferred term; Implementing a consistent value for the method attribute that aligns with the concept FSN; Improving hierarchical subsumption; and Inactivating duplicate concepts. Full details of the proposal are available in this briefing note . Q: What is the scope of this work? A: This work will involve reviewing the relevant inconsistent descriptions and updating them. It’s important to note that we are proposing that the bulk of content in scope for this update be remodeled without concept inactivation, avoiding a negative impact on established implementations. However, where identified, duplicate concepts will be inactivated. We will also review inconsistent modeling and create new templates to encourage future consistency while also removing duplication. By drafting new editorial guidance for the addition of future content of this type, we a im to ensure that future content editing for this area of content aligns with the agreed-upon approach and does not recreate or replicate the existing content issues. Q: What is the timeline to complete and release this work? Where are you in the process? What are the next steps? A: We developed a briefing note and asked our Members and our community of practice to review it and provide their input by August 3, 2023, although this period will be extended to August 17, 2023 to allow for wider community input. Following the feedback process, the changes will be addressed and promoted to the SNOMED CT International Edition release sequentially over a number of releases, starting after the review and feedback period closes. The hierarchy will be reviewed in subsections and the content will be promoted over sequential releases until the changes are complete. They will also be included in the early visibility Confluence page and in the release notes of the International Edition to align with the month in which they are published. Q: How has SNOMED International engaged the relevant communities and what are you hearing? A: We have shared the briefing note with the Editorial Advisory Group , the Member Forum , the Content Managers Advisory Group , our Clinical Leads and relevant standards partner DICOM . We have also added it to the early visibility Confluence page as noted above. Those providing feedback so far have expressed the importance of avoiding any negative impacts to established implementations. For example, inactivation of active concepts may impact established implementations. This will be managed using historical association to an active concept. This is just the first step, however, and we will continue to seek feedback and input from the groups and organizations most affected by these changes. Q: How can people get involved in the process? A: If you are interested, we suggest you review the briefing note and provide feedback by August 17, 2023. You can also contact Maria Braithwaite at mbr@snomed.org .

Learn about SNOMED CT in Norway: internal implementations and global experiences Back 12 Mar 2025 Back For the first time, SNOMED International, as part of the April 2025 Business Meetings in Oslo, is hosting a full day of presentations and discussions focused on Norway. To be held on April 10, SNOMED CT in Norway Day will offer 10 sessions highlighting SNOMED CT use and initiatives in Norway and more broadly in Europe. The event builds on the SNOMED CT in Europe day held in 2024 in Belgium and is free to attend, whether onsite or online. In this blog, Marte Rime Bø, Senior Advisor for Terminology at the Norwegian Directorate of Health , discusses the goal of the day’s events, what attendees can expect to learn and why you should consider attending. Q: Why are we hosting a day focused on SNOMED CT in Norway specifically? A: We thought this was a very good opportunity to share with the SNOMED International community some concrete business cases from Norway. It’s also a great opportunity for our collaborating organizations, including health regions, hospitals, municipalities, vendors and professional clinical organizations, to get together and learn about what’s happening with SNOMED CT in Norway and internationally as well. Q: How is the day set up? A: There are 10 sessions highlighting SNOMED CT use and initiatives: the seven morning sessions are focused on Norway, while the three afternoon sessions feature international presenters discussing the European Health Data Space, ICD-11 and artificial intelligence. The day includes a keynote on dental health and big data, as well as presentations on topics such as using screening for intestinal and prostate cancers, alerts for medication prescriptions, and standardized care plans for nursing. Hopefully, it's both broad enough and specific enough to be interesting for our international visitors. We're trying to keep it very grounded! That’s also why we’re having all the sessions in English, rather than Norwegian. Luckily, most Norwegians know English! Q: What are the roles of the Norwegian Directorate of Health and the Norway National Release Centre in the event? A: The Directorate of Health runs the National Release Centre (NRC), which is responsible for the national licensing and use of SNOMED CT in Norway. The NRC maintains and distributes the Norwegian extension of SNOMED CT, and functions as a national support centre. The Directorate of Health, which will manage the event and provide context for the presentations, is responsible for a number of different areas – some people work with the registries and some with the medications or nursing module; we also think some of the people in other departments of the Directorate of Health who work with standardization, architecture, code systems, terminology, international collaboration and registries will be interested, so we have engaged that expertise to participate. Q: What will be the focus of the keynote on dental health and big data? A: This session is going to be really interesting. Jørn André Jørgensen, who is giving this keynote, is an Advisor, Electronic Patient Record, and Digital Development, Vestfold County Municipality. Also a dentist, he is going to talk about the multiple decades of dental data the municipality has collected – all of which is SNOMED CT-coded and structured. That includes every part of the tooth and every diagnosis made, along with X-rays and operations. He's going to look at this from an economic perspective as well to see if, by using this accumulated data, we can predict which patients we will need to see and when. Dental care is free for everybody under 18 in Norway, so we have a lot of data. He will discuss using the data to better understand which children are going to get cavities and when. That can help in making funding and policy decisions, and to improve the quality of care. But dental care can also overlap with other types of healthcare; for example, dentists often identify a number of medical conditions whose symptoms appear in the mouth (such as oral cancer), and it’s hard for general practitioners to catch that since they don’t usually look in your mouth. He will also discuss the importance of being able to share data safely between general healthcare and dental care, because those two domains are separate in Norway. Additionally, he will discuss using artificial intelligence (AI) in clinical terminology to better understand if there are any indicators dentists can use to detect in advance potential health events such as heart attacks, so it’s a look at the bigger picture, and the socio-economical benefits that can be realized from structuring that dental data. Q: Standardized care plans in nursing are a presentation topic at many SNOMED CT events. What will this session focus on? A: The speaker will present a dashboard where the health region can track the use of nursing terminology in their electronic patient record. They can see which nursing care plans are used where, and which concepts are most used from the different plans. They can also follow the nursing diagnosis, interventions and outcomes when the patient is transferred to a new ward. The data shown in the dashboard is in real-time, and can be used for quality work both in the wards and in the development or maintenance of nursing care plans. Q: What can you tell us about the cancer registry session? A: The cancer screening program in Norway is for intestinal, breast and cervical cancer. All the screenings (tests), including those done outside the screening program, are performed in hospitals, except cervical cancer screening, and the results need to be reported to the registries. In this session, the speakers will share how they went from using unstructured forms to using SNOMED CT to submit information to the national registries. One of the registries uses FHIR for automatic data capture where the content of the forms suggested is based on the information in the Electronic Health Record (EHR). This reduces double registration for doctors and serves to quality assure the content. Now the EHR generates a report that the doctor can approve, and it's then submitted directly to the registry, so that's a very concrete way of making the workday more efficient for health professionals. Q: What are the three most important takeaways you hope attendees will leave with? A: There are about 29,000 doctors, 109,000 nurses and another 40,000 or so other health professionals such as physiotherapists and nutritionists in Norway, and they need a terminology to document the care they are providing. There are a variety of perspectives across these different professionals on the value of using a clinical terminology – positive, negative and indifferent. So the first is showing to a local audience the diversity of SNOMED CT – who is using it and how. The second is understanding how these local initiatives fit into or align with international initiatives – how we contribute to them and what we do. Third, I hope that people will make connections with other people who may be having the same kind of problems, or maybe they can even share solutions they have found. People can be very separated or isolated and working on their own things, so maybe this will broaden their horizons. For more information on SNOMED CT in Norway, visit the SNOMED International website and view the event program .

We want to visualise the value creation generated by the implementation of an innovative care pathway for non-communicable diseases in children, using moderate-to-severe asthma as a prototype. More specifically, we want to evaluate the impact of implementing, a next generation pediatric asthma patient journey, which is a digital transformation of an integrated clinical care pathway for moderate-to-severe asthma in young patients, where clinical outcome is the primary focus. Back View Map AZ Delta Value (Co)-Creation in Next Generation Care Trajectories for Children and Young People - Optimizing Pediatric Asthma Outcomes through a Digitally Transformed, Interoperable Care Trajectory. Read More Country / Region EMEA Tags Clinical Practice, Collaboration, Global/International, Implementation, Innovation, Research We want to visualise the value creation generated by the implementation of an innovative care pathway for non-communicable diseases in children, using moderate-to-severe asthma as a prototype. More specifically, we want to evaluate the impact of implementing, a next generation pediatric asthma patient journey, which is a digital transformation of an integrated clinical care pathway for moderate-to-severe asthma in young patients, where clinical outcome is the primary focus. Description The imperative to enhance healthcare for children and young people (CYP) with non-communicable diseases (NCDs) demands innovative, integrated care models. This research delineates the development and prospective evaluation of a 'Next Generation Pediatric Asthma Patient Journey,' a digitally-enabled transformation of an integrated care pathway for moderate-to-severe asthma. Utilizing asthma as a prototypical NCD, we address critical barriers to multi-stakeholder collaboration, notably interoperability challenges and the fragmented integration of digital health tools within existing healthcare ecosystems. Scope The intervention aims to empower CYP with moderate-to-severe asthma on Maintenance and Reliever Therapy (MART) towards enhanced self-management via a virtual asthma clinic. Primary outcomes encompass validated measures of asthma control, medication adherence, self-management capabilities, and quality of life for both patients and caregivers. Healthcare utilization rates will serve as proxies for cost-effectiveness. This study seeks to demonstrate that a digitally integrated care trajectory, underpinned by semantic interoperability, can significantly improve clinical and patient-reported outcomes in pediatric asthma. Beyond the immediate clinical benefits, the project will deliver a scalable, next-generation model for NCD management in CYP, fostering more efficient, streamlined, and patient-centered care, ultimately contributing to improved morbidity, mortality, and resource allocation within pediatric healthcare. How SNOMED CT will be used Our methodology centers on establishing an interoperable data framework across primary, secondary, and tertiary care settings, independent of disparate Electronic Health Record (EHR) systems. This involves the structured, automated capture of multi-modal data from EHRs, digital respiratory technologies (handheld spirometry, smart inhalers), a dedicated mobile health application, and a tele-monitoring platform. A cornerstone of this initiative is the mapping of these diverse data streams to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), ensuring standardized representation of patient and disease characteristics, including comorbidities. This approach facilitates the generation of robust real-world evidence. 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