European Conference on eHealth

OFFIS - European Conference on eHealthOldenburg, Germany, October 11 - 12, 2007
eHealth refers to the use of digital information and communication technologies to meet the needs of citizens, patients, healthcare professionals, healthcare providers, and policy makers. Interactive health communication channels like the Internet have multiple potential benefits for the public, such as access to general and individualized health information on web sites. Support for health decision-making processes for prevention, diagnosis, and disease management is also possible. In addition, home care applications and mobile emergency call systems can be used by elderly or handicapped people at any time or place. This conference aims to promote research and scientific exchange related to eHealth and to bring together practitioners, scientists, and researchers, as well as those interested in learning more about eHealth.

This conference will discuss innovations in eHealth, especially in the following areas:

  • eHealth portals and web-based platforms
  • Medical communication centres
  • Telemedicine
  • Electronic healthcare records
  • Data security and data protection
  • Business process optimization in health-care
  • Home care
  • Usage of mobile devices in eHealth
  • Data warehouse and data mining technologies in healthcare
  • Standards and exchange formats for eHealth
  • Semantic interoperability
  • Privacy and ethical considerations

For further information, please visit:
http://www.EUNetHealth.org

Related news article:

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...