2nd Baltic Conference on eHealth

The second Baltic Conference on eHealth - organized by the Baltic Sea Forum, the Hamburg Chamber of Commerce, and IBM, in cooperation with the U.S. Commercial Service - will take place on September 26, 2008 (Hamburg, Germany) . The primary aim of the conference at the Hamburg Chamber of Commerce is to provide a cross sector forum for healthcare providers from Germany, Poland, Lithuania, Estonia, Latvia, Russia, Finland, Norway, Sweden, and Denmark.

The Baltic Conference on eHealth will present a well balanced mix of best practices and strategy oriented presentations from various countries. The attendees including representatives from hospitals, governments, health insurance organizations, service providers and media will have the opportunity to exchange views and experiences among all those involved in health management.

The conference program will focus on following topics:

  • Best Practices and Case Studies
  • Disease Management
  • Optimization of clinical and business processes as well as of hospital information and communication systems in order to increase the quality and economics of patient care as well as latest developments in the EU.

The conference will not only include several presentations and workshops but also an exhibition of international IT solution providers as well as a panel discussion on "Patient-Centric Healthcare Systems".

For further information and registration, please visit:
http://www.baltic-conference-on-ehealth.com/

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...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

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...