Med-e-Tel 2015 Conference Program

Med-e-Tel 201522 - 24 April 2015, Luxembourg.
The preliminary Med-e-Tel 2015 conference program is available online. With the IHE-Europe Connectathon (20-24 April) taking place in conjunction with Med-e-Tel, and a day of Med-e-Tel pre-conference sessions (21 April), this will be a week of eHealth activities, conference sessions, workshops, meetings and exhibition, all conveniently located in one place.

The Med-e-Tel conference program already contains an IHE Symposium (on interoperability issues and practical examples), a session on 'Pharmacy and m/eHealth' presented in collaboration with the Pharmaceutical Group of the European Union (PGEU), a 'Telecardiology' session (presented in collaboration with the European Society of Cardiology Working Group on e-Cardiology), a focus on 'smart technologies for independent living, wellbeing, active and healthy ageing' (in collaboration with Auton'Hom-e and with the European Association of Homes and Services for the Ageing), a course and sessions on 'Social Media' (by the ISfTeH Social Media Working Group), a focus 'Open Source Software in Healthcare' (by the ISfTeH Open Source Working Group), and much more.

Register for Med-e-Tel 2015 and get set for 3 days of information packed conference sessions (+ a day of pre-conference sessions), global networking opportunities (with participants from over 40 countries) and technology demos.

The IHE-Europe Connectathon 2015, IHE's annual interoperability and interconnectivity test marathon, will also be held in conjunction with Med-e-Tel.

If you're interested to gain exposure for your company, project or organization, through a sponsorship or participation in the expo, contact Med-e-Tel at This email address is being protected from spambots. You need JavaScript enabled to view it.

For further information, please visit:
http://www.medetel.eu

Related news articles:

Most Popular Now

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

A Novel AI-Based Method Reveals How Cell…

Researchers from Tel Aviv University have developed an innovative method that can help to understand better how cells behave in changing biological environments, such as those found within a cancerous...