Seminar on eHealth Research at the Queen's Medical Research Institute

The University of EdinburghThe University of Edinburgh's Centre for Public Health and Primary Care Research will hold a Seminar on eHealth Research on June 2nd, 2008 at the Queen's Medical Research Institute, Little France, Edinburgh. This eHealth Seminar will highlight the interdisciplinary and translational nature of current eHealth projects at the Centre for Public Health and Primary Care Research and the School of Informatics at the University of Edinburgh and highlight the future potential of eHealth in delivering improved healthcare outcomes.

The development of eHealth initiatives is emerging as a key factor in the delivery of modern healthcare and has important consequences for health policy experts and healthcare practitioners alike. The interdisciplinary nature of the field encourages dialogue between policy-makers, industry, informatics experts and doctors engaged in clinical practice.

Key features of the day will include:

  • Welcome and Introduction to Principal from Professor Aziz Sheikh, Professor of Primary Care, Research & Development, University of Edinburgh
  • Opening Address from Professor Sir Tim O'Shea, Principal and Vice-Chancellor of the University of Edinburgh
  • Overview of eHealth Research at the University of Edinburgh (EERN) by Dr. Claudia Pagliari, Convenor, eHealth Interdisciplinary Research Group, University of Edinburgh
  • Keynote Address by Sir Muir Gray, Director, NHS National Knowledge Service
  • Case Study: Bringing Industry, Clinical Practice and Research Together - Trialling Remote Diagnostics in the Edinburgh and Lothians Region by: Dr Brian McKinstry (UoE), Snr Research Fellow/GP; Chris Horner, Project Manager, Intel; David Kelly (NHS), Director of West Lothian CHP)

eHealth Research Seminar is proposing as well unique networking opportunities with a wide range of policy, research and clinical stakeholders.

Registration by e-mail to: This email address is being protected from spambots. You need JavaScript enabled to view it.

Tel: 0131 242 9412

By: May 28th 2008

Location: Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ

For further information, please visit:
http://www.mvm.ed.ac.uk/News/Public/080602.htm

Most Popular Now

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...