EIT Health 2-day event in Brussels 04-05 March on the access/share/use of data.
Two Days, Two Perspectives: Empowering Healthcare Providers and Start-ups to Shape the Future of Digital Health and Innovation.
Read more or register for the 2-day event here.
Date: March 25, 2025 – March 26, 2025
Location: Luxembourg City
The European Health Data Space – the first common thematic EU data space to be implemented – is a major game changer for delivering healthcare across European borders and enabling breakthrough research and innovation. The third edition of the European Digital HealthTech Conference will explore how this influences the development, innovation, use and adoption of digital health solutions.
Read more about the conference.
I studied medicine in Austria, was trained in Germany, did a research fellowship in the US, and continued working in Germany till recently. I am Professor for Anaesthesia and Anaesthesiological Intensive Care Medicine and the Chair of the Clinical Division of General Anaesthesia and Intensive Care Medicine at the Medical University of Vienna.
Providing data, collaborating regarding science, and clinical benchmarking. Think about the future and how the project might improve clinical care and critical care research.
Improving patient care by using data securely and responsibly while developing reliable AI models—that is the goal of a new initiative aimed at enhancing data exchange among intensive care units across Europe. The project is led by Michel van Genderen, an internist-intensivist at Erasmus MC.
The project called INDICATE is developing a secure system for sharing ICU data. Instead of sending the data to researchers or healthcare professionals, the software is brought to the ICU to analyze the data locally. This ensures that the data always remains within the hospital environment, fully protecting patient privacy.
Currently, it is challenging for ICUs to collaborate effectively because data is often fragmented and difficult to access. Data access is complex for training AI models, and patient privacy must always be safeguarded. This became evident during the early months of the COVID-19 pandemic, when even simple questions, such as how many patients in the Netherlands developed a blood clot as a complication of COVID-19, could not be answered immediately.
The lack of real-time information and data exchange between hospitals makes it difficult to develop AI models that can be applied across different institutions. For instance, consider an AI model designed to detect bloodstream infections in newborns earlier, enabling faster treatment.
INDICATE aims to address these challenges by ensuring that data is used securely and responsibly. It facilitates secure data sharing and promotes the collaborative development of AI models that can be deployed across multiple locations. Additionally, it functions as a benchmarking platform, allowing ICUs to compare and improve their performance.
INDICATE’s partners are spread throughout Europe, providing a broad representation of data from diverse patient populations. This diversity enhances the training of AI models for patients from various backgrounds, making them more reliable and effective for everyone. As a result, healthcare professionals are better equipped to deliver personalized care, compare ICU outcomes, and prepare for emergencies.
The project is led by internist-intensivist Michel van Genderen from Erasmus MC, in collaboration with Prof. Dr. Christian Jung (University Hospital Düsseldorf, Germany), co-coordinator of INDICATE, and Jan van den Brand and Lisanne Schuurman Prooyen from Erasmus MC. The European Commission has awarded the project a grant of €10 million.