Significant Progress Made at Tenth IHE Europe Connectathon

The 10th annual European Connectathon, a well-known testing platform, held from 12-16 April in France was particularly successful this year. One of the most important results observed was that several IHE profiles were endorsed for national programmes in several countries where IHE national initiatives are active.

IHE-Europe has proven throughout the last decade that the methodology used has showed good and effective results, mainly through their annual testing platform tackling interoperability in a pragmatic and concrete way.

At this year's Connectathon, a total of 2,250 interoperability tests were carried out and of these 1,950 passed. 80 profiles and 94 systems were tested in five domains (Radiology, Cardiology, IT-Infrastructure, Laboratory and Patient Care Coordination) by 66 companies bringing together over 250 engineers. For the first time, the Connectathon was entirely managed by Gazelle, the test management tool developed by IHE (http://gazelle.ihe.net/).

This annual event also offered opportunities for other important activities to take place, such as meetings on international DICOM standards and ePharmacy but was also an opportunity to learn more through the workshops on EU-funded projects such as epSOS, HITCH and Smart Personal Health Systems. Besides industry and users, a number of prestigious participants attended, such as national and European institutions including DG Information Society.

Peter Kuenecke, IHE-Europe Co-Chair, said: "Looking at the 10-year history of the Connectathon, we have seen a significant shift from a testing platform to a true European Forum on interoperability."

The 2011 Connectathon will be held at Leopolda Storica in Pisa from April 11 to 15.

For more information on IHE-Europe please visit:
http://www.ihe-europe.net

Related news article:

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

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...