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

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...