Benchmarking Deployment of eHealth among General Practitioners (2013)

This is the final report of the study "Benchmarking deployment of eHealth among General Practitioners II" funded by Unit F4 of DG CONNECT. A survey of General Practitioners (GPs) was conducted in 31 countries (EU27+ Croatia, Iceland, Norway, and Turkey) to measure and explain levels of availability and use (adoption) of eHealth applications and services. A random sample of 9,196 GPs was interviewed and data was processed using sophisticate multivariate statistical techniques. The survey shows that access to, and use of, basic ICT (a computer connected to the Internet) in the consultation room has become almost universal in all countries (97% of the sample). For more advanced features such as Electronic Health Records (EHR), Health Information Exchange (HIE), Telehealth, and Personal Health Records (PHR), however, the data show that more progress is needed. Although there was progress compared to 2007, adoption of eHealth systems in primary care is still limited for HIE, Telehealth, and PHR. Some basic forms of EHR are now available to about 93% of GPs, but more advanced features are less widespread. Levels of adoption are influenced by GPs individual characteristics and attitudes as well as by country level effects, and by the perception of impacts and barriers. The majority of GPs place more emphasis on barriers than on benefits, and identify lack of financial incentives and resources, lack of inter-operability, and lack of a regulatory framework on issues of confidentiality and privacy as the main barriers. The levels of adoption registered suggest that we are still very far from reaching the target and objectives defined for eHealth both in the Digital Agenda for Europe and in the 2012 eHealth Action Plan, and that more policy efforts are need to facilitate uptake.

Download:

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...