Report on the Public Consultation on eHealth Action Plan 2012-2020

Report on the Public Consultation on eHealth Action Plan 2012-2020
In December 2009, Member States adopted the Council Conclusions on Safe and efficient healthcare through eHealth1, in which the Council specifically called on the Commission to "update the eHealth Action Plan". A public consultation is a mandatory exercise to give stakeholders the opportunity to give their opinion on any important European initiative. The public consultation was launched on 31 March 2011 and closed on 30 May 2011. The consultation sought to validate four proposed objectives and to explore possible actions to be undertaken in next years. The four objectives proposed were:

  • Objective 1: Increase awareness of the benefits and opportunities of eHealth, and empower citizens, patients and healthcare professionals.
  • Objective 2: Address issues currently impeding eHealth interoperability
  • Objective 3: Improve legal certainty for eHealth
  • Objective 4: Support research and innovation in eHealth and development of a competitive European market.

239 participants contributed to the consultation representing different stakeholders including non-governmental organisations, academia, enterprises, health and social care providers and public authorities from many Member States.

Download Report on the Public Consultation on eHealth Action Plan 2012-2020 (.pdf, 202 KB).

Download from eHealthNews.eu Portal's mirror: Report on the Public Consultation on eHealth Action Plan 2012-2020 (.pdf, 202 KB).

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...