ICN and IHTSDO Team-up to Ensure a Common Health Terminology

The International Council of Nurses (ICN) and the International Healthcare Terminology Standards Development Organisation (IHTSDO) announced a collaborative agreement to advance terminology harmonization and foster interoperability in health information systems.

"ICN will embrace this collaboration as an important means of supporting nurses in providing quality care. Nurses need to be able to access and share patient information in a standard way, to ensure safety, improve quality of care across the health care delivery system and communicate with other health professions. The ICN-IHTSDO collaboration will facilitate this," explained David Benton, ICN's Chief Executive Officer. "Many nurses from around the world have contributed to the development and improvement of the International Classification for Nursing Practice (ICNP®). ICN can advance their efforts through this collaboration with IHTSDO."

The new agreement complements the aims of both organizations for state of the art health informatics standards. Close collaboration of standards organizations diminishes gaps and overlaps in standardized terminologies. ICN will be an active participant in the work of the IHTSDO and will facilitate involvement of the nursing community through the IHTSDO Nursing Special Interest Group and ICNP® programme activities. Optimal healthcare terminologies in health information systems support the goals of improved quality of care, enhanced patient safety processes, and valid data- based decision support for clinicians and policy development.

"IHTSDO welcomes the opportunity to collaborate with international nursing organizations to ensure that clinical terminologies respond to the needs of nurses, who are the largest health profession," said Jennifer Zelmer, chief executive officer of the IHTSDO. "We share the goal of having terminologies working effectively together in computer systems that support patient care and other applications."

ICN and IHTSDO are the developers of the International Classification for Nursing Practice (ICNP®) and SNOMED Clinical Terms (CT), respectively. The ICNP® terminology serves a critical role for ICN in representing the domain of nursing practice worldwide, thus providing nurses at all levels with data-based information used for practice, administration, education and research. SNOMED CT is a multidisciplinary healthcare terminology designed to support the entry and retrieval of clinical concepts in electronic record systems and the safe, accurate, and effective exchange of health information.

About ICN
The International Council of Nurses (ICN) is a federation of more than 130 national nurses associations representing the millions of nurses worldwide. Operated by nurses and leading nursing internationally, ICN works to ensure quality nursing care for all and sound health policies globally.
www.icn.ch

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. The IHTSDO is an international organization, established as a Danish not-for-profit association.
www.ihtsdo.org

Most Popular Now

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...

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...

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...

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...

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...

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...