eHealth 2008 (UK) - Submit a Position Paper

September 8th and 9th, 2008
City University, London EC1
The provision of healthcare supported by electronic processes and communication is an area that is expanding almost exponentially. E-Health is a field that embraces medical informatics, public health and business, referring to health services and information delivered or enhanced through the Internet and related technologies.

In order to learn about recent developments different from those presented at rigid forums of scientific, technical and academic conferences, it is crucial to provide opportunities for researchers, developers, investors, entrepreneurs, regulatory experts, decision makers and corporate executives to share ideas on business models and opportunities, discuss advances in their R&D efforts and talk about regulatory issues impacting their current projects. The Position Paper Track caters exactly for this need by providing a forum to present leading developments relevant to state-of-the-art technologies.

Submission Instructions
The length of submitted articles varies according to the three types of position papers; Standard Papers (8 pages), Short Papers (4 pages) and Work-In-Progress Papers (2 pages). The criteria of selection for papers will be based on novelty, innovation and originality. Position papers might introduce relevant technical advances, leading technologies and specific products, private companies and successful business models, etc. Accepted papers will be published in the conference proceedings as well as in various digital and paper based ICST publications. Best papers will be considered for ICST’s joint series with Springer: ICST Lecture Notes (LNICST).

Topics

  • Security and privacy of medical data
  • New e-learning models in the medical field
  • Use of social networking for wellbeing
  • Web 2.0 and its influence in the patient care
  • Online communities to manage chronic patients
  • New e-health business models
  • Interoperability of E-health systems
  • Standards and policies
  • Data aggregation
  • Data manipulation
  • Image and content optimization for mobile devices
  • Data mining for personalized healthcare services

Important Dates
Initial submissions: July 20, 2008
Paper acceptance notification: August 10, 2008
Camera ready papers: August 20, 2008
Conference date: September 8 - 9, 2008

For further information and registration, please visit:
http://www.electronic-health.org

Related news article:

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...