Inclusion of SNOMED CT Terms and Identifiers in International Research Databases

International Genetic Databases to be early beneficiary. The International Health Terminology Standards Development Organisation (IHTSDO) has announced a new policy to enable free use of English-language SNOMED CT terms and identifiers in international research databases, in complementary health IT standards, and in other projects and resources available worldwide. The new policy allows SNOMED CT to serve as a standard vocabulary for key data elements and value sets in international resources that accept input from - and are used in - both IHTSDO Member and non-Member countries. Access to the complete international release of SNOMED CT (including translations, hierarchical, definitional, and mapping relationships) continues to require an IHTSDO Affiliate License. The Affiliate License is free in IHTSDO Member countries, in more than 40 countries designated as low-income by the World Bank, and for approved research projects. Fees apply for regular use in other countries.

In announcing the new policy, Martin Severs, Chair of the IHTSDO Management Board, stated "This is a generic decision for the world to make (parts of) SNOMED CT available as a public good. The first instance of this policy is obviously the free license for low-income countries and this publicly accessible bio-informatics database is a further example." In addition, Jan-Eric Slot, Chief Executive Officer of IHTSDO remarked that: "Based on this general decision we expect more requests in the near future for similar use as a public good of SNOMED CT. A robust process has been put in place to ensure handling these requests in a timely manner, whilst assuring the quality standards relevant to the use of a terminology like SNOMED CT.

New international databases in development by the U.S. National Library of Medicine's National Center for Biotechnology Information (NCBI) will be among the early beneficiaries of the new policy. Betsy Humphreys, Deputy Director of the National Library of Medicine, said that "NLM strongly supports the use of SNOMED CT as the source of standard disease names in international genetic databases and other international research resources. Use of SNOMED CT in biomedical research should aid in the translation of research results into practice. Unambiguous links between electronic health records and information on genetic tests or genetic variations relevant to patient conditions will be increasingly important in individual patient care."

About 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. SNOMED CT is a standardized terminology that is used in more than 50 countries around the world as the foundation for electronic health records and other applications. The IHTSDO is an international organization, established as a Danish not-for-profit association. 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.

About NLM
The NLM (U.S. National Library of Medicine), a part of the U.S. National Institutes of Health, is the U.S. Member of the IHTSDO. NLM is the world's largest medical library and the producer of databases that are heavily used by researchers, health professionals, and the general public around the world. As the coordinating body for clinical terminology standards within the U.S. Department of Health and Human Services, NLM works closely with the Office of the National Coordinator for Health Information Technology to promote meaningful use of electronic health records, effective health information interchange, and the use of common standards in health care, public health, and biomedical research.

IHTSDO®, SNOMED® and SNOMED CT® are registered trademarks of the International Health Terminology Standards Development Organisation.

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

Meet Your Digital Twin

Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when...

NHS National Rehabilitation Centre to De…

The new NHS National Rehabilitation Centre will deploy technology to help patients to maintain their independence as they recover from life-changing injuries and illnesses and regain quality of life. Airwave Healthcare...

AI Finds Hundreds of Potential Antibioti…

Snake, scorpion, and spider venom are most frequently associated with poisonous bites, but with the help of artificial intelligence, they might be able to help fight antibiotic resistance, which contributes...

AI Tool Accurately Detects Tumor Locatio…

An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed benchmark models when tested in three different groups, according to a study published...

AI can Accelerate Search for More Effect…

Scientists have used an AI model to reassess the results of a completed clinical trial for an Alzheimer’s disease drug. They found the drug slowed cognitive decline by 46% in...

AI Accurately Classifies Pancreatic Cyst…

Artificial intelligence (AI) models such as ChatGPT are designed to rapidly process data. Using the AI ChatGPT-4 platform to extract and analyze specific data points from the Magnetic Resonance Imaging...

Free AI Tools can Help Doctors Read Medi…

A new study from the University of Colorado Anschutz Medical Campus shows that free, open-source artificial intelligence (AI) tools can help doctors report medical scans just as well as more...

Autonomous AI Agents in Healthcare

The use of large language models (LLMs) and other forms of generative AI (GenAI) in healthcare has surged in recent years, and many of these technologies are already applied in...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...