Med-e-Tel 2007 Call for Abstracts

Med-e-TelYou are cordially invited to join us at the Med-e-Tel exhibition and its educational and information program of interactive seminars on eHealth, telemedicine and all possible ICT applications in medicine, which will cover the results of recent or ongoing projects and research, real life experiences and existing programs, product presentations, and exhibitor training sessions. Organized by Luxexpo and supported by a wide range of national and international associations and institutions, this three day meeting and networking event brings together leading specialists to present recent achievements and developments in the field.

Scope
The event focuses on a wide range of medical ICT applications and on the convergence of information and communication technology with medical applications, leading to higher quality of health and social care, widespread availability and accessibility of healthcare services, cost reductions and workflow efficiency.

As usual, Med-e-Tel 2007 will bring manufacturers and suppliers as well as service providers in the field of eHealth, together with buyers, healthcare professionals, institutional decision makers, policy makers, healthcare insurers, and other stakeholders.

Med-e-Tel provides a unique forum in which clinical and basic researchers and industry and government representatives participate in trans-disciplinary discussions of the latest advances and future directions of eHealth.

Thus, Med-e-Tel 2007 not only offers a broad view on the present status of ICT applications in medicine but will explore new ways to improve the efficiency of the utilized state of the art technology in healthcare provision and will define a roadmap for further development of the market. The meeting is a highly beneficial forum for advancing international networking and collaboration.

Topics
The areas covered will include (but are not limited to):

  • Bio-informatics and intelligent clothing
  • Broadband and wireless networks and technologies
  • Cost-benefit studies
  • Current eHealth realizations and projects
  • Developing countries and eHealth
  • Disease and wellness management
  • Distance education
  • eHealth and psychological impact including e-therapy
  • eHealth and telemedicine integration into routine medical practice
  • eHealth and transport systems (air, rail, road, sea, space)
  • eHealth applications in cardiology, radiology, wound care and other medical disciplines
  • eHealth for prison systems
  • eHealth solutions for the ageing society
  • Electronic health records
  • ePrescription
  • Facing threats and disasters
  • Future eHealth strategies
  • Home monitoring, homecare applications
  • Innovations within eHealth
  • Legal and ethical aspects
  • Long term data preservation and intelligibility
  • Medication compliance
  • Military telemedicine experiences
  • Nutrition and eHealth
  • Reimbursement issues
  • Satellites and eHealth
  • Secure data transmission
  • Smart homes and independent living
  • Standardization and interoperability
  • Etc.

Attendees are invited to submit abstracts related to these themes so they may have an opportunity to discuss their own work with leaders in the field. Abstracts will be published on the Med-e-Tel website and in the Med-e-Tel exhibition guide. The educational and informational program takes place in the morning and afternoon during the three conference days.

Related news articles:

Most Popular Now

500 Patient Images per Second Shared thr…

The image exchange portal, widely known in the NHS as the IEP, is now being used to share as many as 500 images each second - including x-rays, CT, MRI...

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

Using AI to Treat Infections more Accura…

New research from the Centres for Antimicrobial Optimisation Network (CAMO-Net) at the University of Liverpool has shown that using artificial intelligence (AI) can improve how we treat urinary tract infections...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...