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Session 6A: Artificial Intelligence in healthcare: how context challenges implementation

Session 6a final

With the support of Digital Health Uptake.

Artificial intelligence (AI) is at the forefront of healthcare innovation. AI empowers researchers and clinicians to make data-driven decisions with unprecedented precision. This session will delve into the potentially profound impact of AI on different health care and research applications (from AI-assisted triage or clinical decision support systems to drug discovery). It will also debate context-specific implementation challenges, such as pre-conditions for data infrastructure in various health systems. 


🕐 Session Programme


► Session introduction

Nathan Lea, i~HD, Belgium

► Systemising the adoption of Artificial Intelligence in public healthcare systems: the Catalan approach

Maria Bretones Vallejo, Fundació Tic Salut Social, Catalonia, Spain

The Programme for the Promotion and Development of Artificial Intelligence in the Catalan Health System (Health/AI Programme) embraces the entire lifecycle of AI tools, from conceptualisation to implementation. The main objective is to implement AI tools that bring high value at a systemic level: improving the care provided to citizens, supporting healthcare professionals, and following criteria for trustworthy AI (which makes it lawful, ethical and robust).

► Artificial Intelligence for Health Maturity in Germany: Current State and Prospects

Georgi Chaltikyan, Deggendorf Institute of Technology, Germany

The Digital Radar project has served to measure the level of maturity of German hospitals and has boosted innovation across the country. How hospitals face recent AI developments and how they enrich a learning health system connecting clinical practice and health research will depend on key enabling national policies.

► Challenges deploying the ODIN AI framework in European hospitals

Alejandro Medrano Gil, Universidad Politécnica de Madrid, Spain

ODIN developed a framework to deploy AI in European hospitals and identified several priority use cases. Different challenges were found in the deployment process. This session will describe the challenges related to data silos and the technological infrastructure readiness of hospitals to adopt emerging technologies such as AI, robotics and IoT.

► Moderated debate with speakers



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