Connectathon Goes to France

The Tenth Annual European interoperability testing event, known as the IHE Connectathon, will be held in Bordeaux, France from April 12th to 16th, 2010 at the Cité Mondiale, a conference center located in the heart of the city on the banks of the Garonne river.

More than 300 information technology engineers from 90 companies are expected for this year's event, an intensive, five-day 'connectivity marathon' for testing the interoperability of applications used in health information systems.

In parallel with these testing activities, Connectathon 2010 will offer two full-day conference programs, one focused on the progress towards interoperability in European health IT programs and one focused on developments in France.

At the IHE Connectathon all companies implementing IHE Technical Framework specifications in their products have a unique opportunity to test their applications with systems and products from other vendors in a real-time interoperability environment.

According to vendors who have participated in previous Connectathons, "the cost of identifying and solving a bug during a Connectathon is about 10 times less than the cost of a bug identified on site."

The results of the Connectathon will be published on the IHE-Europe website and application vendors may refer to the IHE Integration Statements to show compliance of their product with IHE Integration Profiles. This is a clear benefit to vendors when responding to Requests for Proposals from users.

For more information on IHE-Europe please visit: www.ihe-europe.net. Also available on the IHE-Europe website are Success Stories about IHE implementations in Europe, as well as FAQs about Connectathon and IHE frameworks and specifications.

About IHE-Europe
IHE-Europe is the European organization of the international IHE organisation. 'Integrating the Healthcare Enterprise' (IHE) is a joint initiative of healthcare professionals and industry to improve the way computer systems in healthcare share information. IHE promotes the coordinated use of established standards such as DICOM, XML and HL7 to address specific clinical needs in support of optimal patient care. Systems developed in accordance with IHE specifications communicate with one another better, are easier to implement, and enable care providers to use information more effectively.

Most Popular Now

Mobile Phone Data Helps Track Pathogen S…

A new way to map the spread and evolution of pathogens, and their responses to vaccines and antibiotics, will provide key insights to help predict and prevent future outbreaks. The...

AI Model to Improve Patient Response to …

A new artificial intelligence (AI) tool that can help to select the most suitable treatment for cancer patients has been developed by researchers at The Australian National University (ANU). DeepPT, developed...

Can AI Tell you if You Have Osteoporosis…

Osteoporosis is so difficult to detect in early stage it’s called the "silent disease." What if artificial intelligence could help predict a patient’s chances of having the bone-loss disease before...

Study Reveals Why AI Models that Analyze…

Artificial intelligence (AI) models often play a role in medical diagnoses, especially when it comes to analyzing images such as X-rays. However, studies have found that these models don’t always...

Think You're Funny? ChatGPT might b…

A study comparing jokes by people versus those told by ChatGPT shows that humans need to work on their material. The research team behind the study published on Wednesday, July 3...

Innovative, Highly Accurate AI Model can…

If there is one medical exam that everyone in the world has taken, it's a chest x-ray. Clinicians can use radiographs to tell if someone has tuberculosis, lung cancer, or...

New AI Approach Optimizes Antibody Drugs

Proteins have evolved to excel at everything from contracting muscles to digesting food to recognizing viruses. To engineer better proteins, including antibodies, scientists often iteratively mutate the amino acids -...

AI Speeds Up Heart Scans, Saving Doctors…

Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence (AI), which could save valuable NHS time and resources, as well as improve...

Researchers Customize AI Tools for Digit…

Scientists from Weill Cornell Medicine and the Dana-Farber Cancer Institute in Boston have developed and tested new artificial intelligence (AI) tools tailored to digital pathology - a rapidly growing field...

Young People Believe that AI is a Valuab…

Children and young people are generally positive about artificial intelligence (AI) and think it should be used in modern healthcare, finds the first-of-its-kind survey led by UCL and Great Ormond...