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

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Groundbreaking TACIT Algorithm Offers Ne…

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment...

The Many Ways that AI Enters Rheumatolog…

High-resolution computed tomography (HRCT) is the standard to diagnose and assess progression in interstitial lung disease (ILD), a key feature in systemic sclerosis (SSc). But AI-assisted interpretation has the potential...