IHTSDO Launches New Global Effort to Build Essential Health Terminology Toolset

The International Health Terminology Standards Development Organisation (IHTSDO) announced a global effort to improve access to tools needed to develop, maintain, and enable the use of SNOMED CT in health systems around the world. This effort is part of an Open Health Tools Charter Project jointly sponsored by IHTSDO, the National Health Service in the UK and Australia's National e-Health Transition Authority.

"Having accurate and reliable health information when and where needed saves lives and saves time," says Jennifer Zelmer, IHTSDO’s chief executive officer. "By working with partners from around the world, IHTSDO hopes to increase access to standards-based solutions that enable the safe exchange of health information in a privacy-sensitive manner."

IHTSDO Sources SNOMED CT Workbench
IHTSDO announced today that it is seeking proposals for the supply and maintenance of a SNOMED CT multi-lingual modular workbench that will host terminology editing, translation, mapping, and other applications. Open Health Tools (OHT) is managing this process on behalf of IHTSDO. Open source solutions will be encouraged, but any offerings will be assessed on their own merits.

The SNOMED CT workbench is part of IHTSDO’s on-going efforts to enable broader access to, and use of, standardized clinical terminologies worldwide. Already, nine countries (Australia, Canada, Denmark, Lithuania, Sweden, New Zealand, the Netherlands, the United Kingdom, and the United States) have joined together to support the on-going development and maintenance of SNOMED CT and related standards, sharing the costs on a sliding scale based on national income and making the standards freely available in their jurisdictions. IHTSDO also offers free access to SNOMED CT in countries that are not yet members for qualifying research projects and on humanitarian or charitable grounds.

IHTSDO Provides SNOMED CT Free to Participating Software Developers
IHTSDO also announced that software developers who are building open source tools using SNOMED CT through an OHT Charter Project can now access the terminology at no cost. All software created by OHT will be freely available to anyone, anywhere, under a commercially friendly open source license (the Eclipse Public License). Health service organizations and software companies will be able to use the OHT technology to build products and systems that will interoperate with other OHT-based products to facilitate information exchange.

"The challenge for a standards development organization such as the IHTSDO is to encourage widespread adoption of its standards within the health sector. Open Health Tools provides an opportunity to engage with the software development community to accelerate this uptake by developing open source tools and component libraries which meet their needs and those of IHTSDO Members," stated Karen Gibson, deputy chair of IHTSDO and chair of the IHTSDO Technical Committee.

Making it easier to develop robust and interoperable health information systems is a shared goal for all of the partners in this project. "We envision a worldwide health information interoperability platform and tools that will allow patients and their care providers to have access to vital, reliable, and secure medical information as required. We anticipate that this will help contain the growth in healthcare costs and will save lives and improve the quality and safety of care provided to citizens across the globe," explained Skip McGaughey, executive director of Open Health Tools.

For further information, please visit:
https://ihtsdo.projects.openhealthtools.org

About International Health Terminology Standards Development Organisation (IHTSDO)
The IHTSDO (International Health Terminology Standards Development Organisation) and its Members seek to improve the health of humankind by fostering the development and use of suitable standardized clinical terminologies, notably SNOMED CT, in order to support the safe, accurate, and effective exchange of health information. The IHTSDO is an international organisation, established as a Danish not-for-profit association. Copies of the recently issued Request for Information/Request for Proposals can be accessed at https://ihtsdo.projects.openhealthtools.org.

About SNOMED CT
SNOMED Clinical Terms™ (SNOMED CT™) is a standardized terminology that can be used as the foundation for electronic health records and other applications. For example, different clinicians often use different terms to describe the same concept. SNOMED CT contains more than 310,000 unique concepts and more than 1.3 million links or relationships between them that ensure that this information is captured consistently, accurately, and reliably across the health system. The terminology is used in more than forty countries around the world. SNOMED CT was originally created by the College of American Pathologists by combining SNOMED RT and a computer-based nomenclature and classification known as Clinical Terms Version 3, formerly known as Read Codes Version 3, which was created on behalf of the UK Department of Health and is Crown copyright.

About Open Health Tools
Open Health Tools (OHT) is an open source community with a vision of enabling a ubiquitous ecosystem where members of the Health and IT professions can collaborate to build interoperable systems that enable patients and their professional healthcare providers to have access to vital and reliable medical information at the time and place it is needed. IHTSDO is a founding members of OHT.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...