Welcome to the IHE Connectathon 2011

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The 11th annual IHE-Europe Connectathon will take place from 11th to 15th April 2011 in Pisa, Italy.

Within the scope of the IHE mission, IHE-Europe will hold the annual Connectathon at the Stazione Leopolda in Pisa from April 11 to 15, 2011. The IHE Connectathon is a 5-day event which main purpose is testing the interoperability and connectivity of health-care IT systems. This traditional event draws participation from across Europe, with more than 90 companies and 200 engineers participating. Also scheduled are a number of "parallel events", with daily round-tables and seminars on specific health-care topics.

Destination Pisa

Pisa is a city full of history, both artistic, cultural and scientific. Although Pisa is known worldwide for its Leaning Tower (the bell tower of the city's cathedral), the city of over 87,500 residents contains more than 20 other 

The IHE Korea Connectathon 2010 took place August 23-26, 2010 in Daegu, Korea. The event was an intensive four-day marathon for testing the connectivity and interoperability of applications for health information systems.

Results are available in the IHE Connectathon Result Matrix.

External Validation Front-end now offers a section which enables you to download the various schematrons used by our validation tool.

Thanks to the work of Aurelie, who spend the summer with us, we now have a new web site for the Gazelle project. 

The new site makes use of drupal and is thus proposing much more functionalities than the previous site made only of html pages. 

• Visitors can now comment our content
• We/You can post content of interest for the community.
• We have an RSS feed
• Site has not searching capabilities, content indexing...

In other word we now have a real CMS for the Gazelle project. 

Thanks to Zheng Jianli (郑建立) we are now offering the generation of dummy patient data for China within the Demographic Data Server application.

Please visit the documentation of the tool to find out how to use it as web service and feed your SUT with dummy patient data.