IHTSDO Open Sources Health Terminology Workbench

The International Health Terminology Standards Development Organisation announced that it is making source code for the IHTSDO Workbench, including tools to develop, maintain, and facilitate the use of SNOMED CT, freely available under an Apache2 open source agreement. IHTSDO will also make a number of seats on the collaborative web-based environment used to host the Workbench available free of charge to open source developers.

"Open sourcing the IHTSDO Workbench will make it easier for developers from around the world to work together to further develop these tools," said John Gutai, IHTSDO’s chief technical architect. "It also means that organizations and standards bodies from around the world can use the same tools to maintain their own terminologies and coding systems, leveraging the investment that IHTSDO and its Members have made."

IHTSDO Workbench Includes Terminology Editing, Browsing, and Other Applications
The IHTSDO Workbench source code includes a set of tools that allow users to author terminology, map terminology to other code sets, undertake workflow and process automation, search/browse terminology, and classify terminology (enabling reasoning over the SNOMED CT terminology). Workbench users can work independently or can collaborate on terminology editing, management, or other tasks. In addition, IHTSDO is making non-clinical meta-data describing the structure of SNOMED CT available under an Apache2 agreement.

IHTSDO intends to add additional modules to the Workbench over time and to encourage partners to build and share complementary tools. Developers will be able to contribute to the progress of the Workbench itself and collaboration facilities will be made available to open source contributors who wish to assist with maintenance and enhancements to the source code.

"Already IHTSDO and a number of its Members are using the Workbench to develop, maintain, and produce terminology resources," Ted Cizadlo, Chair of the IHTSDO Technical Committee. "Standardized clinical terminology is a key building block for the safe, accurate, and effective exchange of health information, and open sourcing the IHTSDO Workbench means that even more experts from around the world can join this collaborative effort."

The IHTSDO Workbench is part of IHTSDO's on-going efforts to enable broader access to, and use of, standardized clinical terminologies worldwide. Already, fourteen countries 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, as well as in countries with low income economies.

For further information, please visit:
http://www.ihtsdo.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.

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.

Most Popular Now

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...