TeleMed & eHealth '06

The Royal Society of Medicine Transforming the patient experience
Monday 20 - Tuesday 21 November 2006

The conference aims to cover the following topics:

  • People's use of e-Health for self care
  • Development and implementation
  • Finding out how it works
  • Telecare and people with long term conditions

Also an evening debate:
"This house believes that eHealth is the single most important tool for transforming the patient experience"

Confirmed keynote speakers include:

  • The Connected Health Initiative: implementing telehealth in a US integrated delivery system - Dr Joseph C. Kvedar, MD, Partners Telemedicine, Vice Chair, Dermatology, Harvard Medical School USA
  • Setting the record straight - Professor Mike Pringle, Clinical Lead, NHS Connecting for Health Programme, UK
  • Information technology: The basis of future healthcare systems - Professor Richard I Kitney, Dean of the Faculty of Engineering, Imperial College, London, UK
  • 15 years experience with Telemedicine in Norway - Steinar Pederson Director, Norwegian Centre for Telemedicine, Norway (Via video-link)

If you would like further details on the programme, please contact the Conference Administrator, Christine Davenport on email: This email address is being protected from spambots. You need JavaScript enabled to view it. or tel: +44 (0)20 7290 3935. To register for the meeting, please visit www.rsm.ac.uk/telemed, or contact Christine Davenport, who can post, fax or email you a registration form.

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

AI Tool Accurately Detects Tumor Locatio…

An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed benchmark models when tested in three different groups, according to a study published...

AI can Accelerate Search for More Effect…

Scientists have used an AI model to reassess the results of a completed clinical trial for an Alzheimer’s disease drug. They found the drug slowed cognitive decline by 46% in...

Free AI Tools can Help Doctors Read Medi…

A new study from the University of Colorado Anschutz Medical Campus shows that free, open-source artificial intelligence (AI) tools can help doctors report medical scans just as well as more...

Autonomous AI Agents in Healthcare

The use of large language models (LLMs) and other forms of generative AI (GenAI) in healthcare has surged in recent years, and many of these technologies are already applied in...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

Can Amazon Alexa or Google Home Help Det…

Computer scientists at the University of Rochester have developed an AI-powered, speech-based screening tool that can help people assess whether they are showing signs of Parkinson’s disease, the fastest growing...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...