Call for Papers: IADIS International Conference e-Health 2009

21-23 June 2009, Algarve, Portugal.
The use of ICTs (Information and Communication Technologies) in Healthcare Services is the main mechanism to improve efficiency and effectiveness. This conference aims to draw together information systems, practitioners and management experts from all quadrants involved in developing computer technology to improve healthcare quality.

Format of the Conference
The conference will comprise of invited talks and oral presentations. The proceedings of the conference will be published in the form of a book and CD-ROM with ISBN, and will be available also in the IADIS Digital Library (accessible on-line).

Best Papers
Selected authors of best papers will be invited to submit extended versions of their papers to selected journals (i.e. IADIS International Journal on Computer Science and Information Systems - ISSN: 1646-3692) including journals from INDERSCIENCE Publishers.

Types of submissions
Full and Short Papers, Reflection Papers, Posters/Demonstrations, Tutorials, Panels and Doctoral Consortium. All submissions are subject to a blind refereeing process.

Topics related to e-Health are of interest. These include, but are not limited to the following areas:

A. Research Issues

  • Computers and Primary Care
  • Clinical Data Visualisation Standards
  • e-Health Architectures
  • Healthcare Data Architecture and Terminology Standards
  • Federated Electronic Health Records
  • Personalized Medicine
  • Health Informatics and Education
  • Human Computer Interaction
  • Infrastructure and Architecture
  • Internet and Medicine
  • Interoperability issues
  • IT and Patient Care
  • Nursing Informatics
  • RFID and localization techniques
  • Usability and Ubiquity in e-Health
  • e-Health Virtual Communities
  • Business Process Management Systems
  • Second Life for Healthcare Support and Education

B. Management Issues

  • Case Studies
  • Management Change
  • Confidentiality and Privacy
  • e-Health Collaborative Strategies and Techniques
  • e-Training
  • Healthcare Management Dashboards
  • Legal issues
  • Balanced scorecards models to improve Hospital Performance and Productivity
  • Business Intelligence in Healthcare
  • e-Health to improve Healthcare Quality and Patient Safety.
  • Healthcare Information Systems Regulatory issues
  • Security in e-Health
  • Service Models
  • Social implications
  • Stakeholders involvement

C. Applications

  • Clinical Information Systems
  • Data Mining and Clinical Studies
  • Medical Guidelines
  • e-Health Decision Support Systems
  • e-Logistics and e-Pharmacy
  • Intelligent Medical Systems
  • Mobile Applications
  • Patient Electronic Health Records
  • Healthcare Portals to inform and connect Patients with Physicians
  • Patients and Public Health
  • Social Networks in Healthcare contexts
  • e-Health Marketing
  • e-Procurement and e-Commerce
  • Telemedicine
  • Automatic Identification and Data Collector Systems
  • Unified data processing and communication Systems
  • Web Based Applications
  • e-Health 2.0

Important Dates:

  • Submission Deadline: 30 January 2009
  • Notification to Authors: 6 March 2009
  • Final Camera-Ready Submission and Early Registration: Until 6 April 2009
  • Late Registration: After 6 April 2009
  • Conference: Algarve, Portugal, 21 to 23 June 2009

For further information, please visit:
http://www.ehealth-conf.org/

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 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...