eHealth Trends Across Europe 2005-2007

WHO/European eHealth Consumer Trends SurveyPre-liminary report of the "WHO/European eHealth Consumer Trends Survey"
The report presents the results from the 2007 eHealth Trends survey. The number of Internet health users increased from 44% in 2005 to 54% in 2007. The growth in the use of Internet for health purposes is found in all seven countries participating in the survey.

The growth in the use of Internet for health purposes is found in all seven countries participating in the survey. The use of the Internet for health purposes is increasing in Europe.

The project is co-funded by the Program of Community action in the field of Public Health (2003-2008) of the Health and Consumer Protection Directorate-General of the European Commission.

Download Pre-liminary report of the "WHO/European eHealth Consumer Trends Survey" (.pdf, 119KB)

For further information:
Norwegian Centre for Telemedicine
University Hospital of North Norway
P.O. Box 35
N-9038 Tromsø
Telephone: (+47) 77 75 40 00
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Web: www.telemed.no

About WHO/European eHealth Consumer Trends Survey
This project focuses on the "new patients or consumers" and the digital divide in Europe. The aim of the project is to investigate European health consumer's use of, their attitudes to and their desires with regards to Information and Communication Technologies (ICT) for health purposes, eHealth. For more information, visit www.telemed.no/ehealthtrends.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

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...

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...

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...

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...

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...

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...