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

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...