ScanBalt Digital Forum 2020

4 September 2020, Germany.
ScanBalt invites European cluster organisations to join the formulation of a joint declaration on the necessary next steps to create the Common European Health Data Space. Clusters are invited to draw on the experience of their cluster members such as universities, hospitals, research institutions, pharmaceutical and med-tech companies and start-ups. The Joint Declaration will be presented to the German Council Presidency for its Council conclusions and further recommendations.

The current COVID 19 crises raises awareness of the need of data and best practise exchange and underlines the need for action. To learn and be better prepared for the future, it is important to gather the innovative digital solutions from the different areas of care, for example:

  • Research (exchange of patient-related data in cross-border research projects, for example in infectiology or pharmacology)
  • Patient care and nursing (cross-border coordination of capacities)
  • Use of innovative digital apps (e.g. early warning system for new waves of infection or for monitoring social distancing measures)
  • Suggestions for a fast track approval of digital solutions

Our aim is to collect and analyse the input on the above-mentioned topics and to formulate the joint declaration to be discussed at the ScanBalt Forum on the 4th of September 2020.

Due to potential travel restrictions, the ScanBalt Forum 2020 will be held for the first time as a purely digital conference. The Forum will focus on the examples that are provided by European cluster organizations and will bound these examples together with the help of panel discussions to a Joint Declaration. The Forum, as the Joint Declaration, has four Tracks:

  • The cross-country collaboration on healthcare between European member states. The COVID-19 crisis has shown that we urgently need new possibilities for health data exchange across borders.
  • Digital solution for the next generation of health research. University hospitals, research institutions, pharmaceutical /medtech companies and public health authorities rely on the possibility to exchange data for improving their business and the treatment of the European public.
  • Digital solutions for a resilient population protection. COVID-19 has underlined the need for a consolidated and harmonized European digital infrastructure (tracing/early pandemic warning systems etc.). The future of the European idea of open borders and freedom of movement relies also on those technical solutions.
  • Digital solutions for a protective elderly care and health care systems. In this chapter we will examine how digital solution could improve healthcare and elderly care systems regarding COVID-19 treatment and beyond.

For further information and to register, please visit:
https://scanbalt.org/scanbaltforum2020/

Most Popular Now

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...