Paving the Way for eHealth Interoperability: The EURO-CAS Project Launches Today

The EURO-CAS project launched operations today to deliver the eHealth Conformity Assessment Scheme for Europe in 2018. This scheme will help European health systems assess the conformity of eHealth products and solutions with international standards, and will enhance vendors' visibility by offering public recognition of conformity of their products. This will advance eHealth interoperability, help advance the European Digital Single Market in the health and care domain, and facilitate the sharing of information for better and more person-centred healthcare.

Led by IHE-Europe, a recognised leader in eHealth standards, the EURO-CAS consortium consists of representatives and competence centres of key European regions and Member States, as well as experts and international associations. Together they will assess the interoperability requirements of European health systems and analyse the existing testing and certification schemes, before developing and testing a European conformity scheme in several regions, guided by an advisory board of additional experts and policymakers. The finalised EURO-CAS model will be presented in November 2018 to the public.

"Lack of interoperability is both a reason for, and a result of, the fragmentation of eHealth markets in Europe and the endurance of information silos," says Karima Bourquard, Director of interoperability at IHE Europe, and scientific coordinator of EURO-CAS. "The EURO-CAS conformity assessment scheme will provide a comprehensive framework, with flexibility to allow better sustainability and harmonisation at European, national and regional levels."

EURO-CAS will build on the findings and results of a series of EU-funded projects that have advanced eHealth interoperability within and between Member States in the last years, and will provide a scheme consistent with the Refined eHealth European Interoperability Framework endorsed by representatives of all 28 European Member States in 2015.

The EURO-CAS conformity assessment scheme for Europe will consist of models, processes and tools that will enable and strengthen the capability of test centres to assess eHealth product and solutions, not only in regard to international standards and interoperability requirements of European eHealth projects, but also in regard to national and regional eHealth requirements.

The EURO-CAS project is committed to transparency and openness, and invites interested parties to join and contribute. They can engage face to face with consortium members during EURO-CAS events, or offer comments and feedback to key deliverables that will be offered for public consultation.

For further information, please visit:
http://www.euro-cas.eu

About the EURO-CAS project

The European eHealth Interoperability Conformity Assessment Scheme for Europe (EURO-CAS) will between 2016 and 2018 develop the sustainable Conformity Assessment Scheme (CAS) for Europe, which will promote the adoption and take-up of interoperability testing of eHealth solutions against identified eHealth standards and profiles defined in the eHealth European Interoperability Framework (eEIF). The project is led by IHE Europe (BE) and coordinated by EIBIR (AT), and joined by fourteen national and regional government bodies, competence centres, and associations. The EURO-CAS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727028.

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...