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

Mobile App Tracking Blood Pressure Helps…

The AHOMKA platform, an innovative mobile app for patient-to-provider communication that developed through a collaboration between the School of Engineering and leading medical institutions in Ghana, has yielded positive results...

Accelerating NHS Digital Maturity: Paper…

Digitised clinical noting at South Tees Hospitals NHS Foundation Trust is creating efficiencies for busy doctors and nurses. The trust’s CCIO Dr Andrew Adair, deputy CCIO Dr John Greenaway, and...

Can AI Help Detect Cognitive Impairment?

Mild cognitive impairment (MCI) can be an early indicator of Alzheimer's disease or dementia, so identifying those with cognitive issues early could lead to interventions and better outcomes. But diagnosing...

Customized Smartphone App Shows Promise …

A growing body of research indicates that older adults in assisted living facilities can delay or even prevent cognitive decline through interventions that combine multiple activities, such as improving diet...

AI Tool Helps Predict Who will Benefit f…

A study led by UCLA investigators shows that artificial intelligence (AI) could play a key role in improving treatment outcomes for men with prostate cancer by helping physicians determine who...

New Study Shows Promise for Gamified mHe…

A new study published in Multiple Sclerosis and Related Disorders highlights the potential of More Stamina, a gamified mobile health (mHealth) app designed to help people with Multiple Sclerosis (MS)...

AI in Healthcare: How do We Get from Hyp…

The Highland Marketing advisory board met to consider the government's enthusiasm for AI. To date, healthcare has mostly experimented with decision support tools, and their impact on the NHS and...

Research Shows AI Technology Improves Pa…

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders...

New AI Tool Accelerates Disease Treatmen…

University of Virginia School of Medicine scientists have created a computational tool to accelerate the development of new disease treatments. The tool goes beyond current artificial intelligence (AI) approaches by...

DMEA sparks: The Future of Digital Healt…

8 - 10 April 2025, Berlin, Germany. Digitalization is considered one of the key strategies for addressing the shortage of skilled workers - but the digital health sector also needs qualified...

First Therapy Chatbot Trial Shows AI can…

Dartmouth researchers conducted the first clinical trial of a therapy chatbot powered by generative AI and found that the software resulted in significant improvements in participants' symptoms, according to results...

Who's to Blame When AI Makes a Medi…

Assistive artificial intelligence technologies hold significant promise for transforming health care by aiding physicians in diagnosing, managing, and treating patients. However, the current trend of assistive AI implementation could actually...