WHO Forum on Health Data Standardization and Interoperability

WHO3 - 4 December 2012, WHO Headquarters, Geneva, Switzerland.
Interoperability has been  recognized as essential to achieving the full potential of information and communication technologies (ICTs) and medical devices in support of health systems as part of the overall socioeconomic development of countries. The eHealth unit within the Department of Knowledge Management and Sharing at the World Health Organization is leading this work in collaboration with technical programmes and member states to advance the appropriate use of ICTs to deliver quality of health services, reduce cost and achieve universal health coverage. Transmitting personal or population data across ICT-driven health information systems requires adherence to health data standards and related technology standards for secure, accurate and timely exchange of data for healthcare decisions.

Lack of data interoperability within and between systems developed by technical programmes or member states not only hinders care delivery, waste resources and leads to fragmentation of health information systems but at times can also cause fatalities. Implementing health data standards to achieve interoperability requires collective action by the Organization and its member states. We have to face the challenge that many countries lack capacity to participate in standards development and their implementation.

Participants invited to this forum include representatives from health data Standards Development Organizations (SDOs),  Member States, academic and research institutions, implementing partners, donor community, and subject matter experts concerned with development, adoption, and implementation of health data standards at national and sub-national level in addition to WHO technical programmes and regional offices.

If you would like to attend the Forum or for further information, please contact the technical focal point for this meeting, Dr Ramesh S. Krishnamurthy via email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Two weeks prior to the Forum, a background document on Health Data Standardization and Interoperability, annotated agenda, and other relevant documents will be made available at http://www.who.int/ehealth

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...