Sessions

Discover how the Wellbeing Services County of Southwest Finland revolutionised its research management process with the Electronic Research Platform. Learn about the challenges faced, the innovative solutions implemented, and the significant benefits realised, including reduced authorisation times and improved process efficiency.

Creation of a structured requirements library in Jira that will allow the reuse of requirements in order to streamline the delivery of clinical trials. 

Aisyah Sjöholm is a medical doctor and global health specialist with extensive experience in artificial intelligence (AI) applications in drug discovery and development. She has worked at the intersection of medicine, technology, and business development, helping to advance AI-driven innovations in the pharmaceutical industry. This session explores how AI, including generative AI and large language models, is transforming drug discovery, optimizing molecular design, and accelerating clinical trial processes. Attendees will gain insights into the latest advancements in AI-driven healthcare innovation and the future potential of these technologies.

Join us on a journey into the transformative world of the Postmodern EHR, where we will explore the bimodal approach that combines the traditional EHR solutions with the flexibility and innovation of modern digital health platforms. This hybrid strategy allows healthcare providers to leverage platform-based technologies to deploy new models of care, new clinical workflows, but also enhance existing ones, and deliver better patient care.   

Virtual tests with simulated health care processes and synthetic data is a new complementary method to traditional testing of products, tools and systems. In this session we will describe Virtuality, a concept for virtual testing using synthetic data, digital sandbox environments and third-party applications to simulate health care processes. The concept enables early testing of digital systems and tools in a safe environment, allowing stakeholders from both academia, industry and public service to research, develop and prototype systems and tools before implementation. Virtuality helps with aspects such as addressing regulatory compliance, reduce
development costs, getting rid of bugs before going into clinical trials and perform testing before real data is accessible. The aim with the concept is that a broad group of practitioners should be able to use and benefit from the virtual environment and simulation of healthcare scenarios.

For successful AI adoption, collaboration is essential. However, working with sensitive data often faces challenges due to regulatory concerns. In this talk, we introduce LeakPro, a tool designed to assess the risk of sensitive information leakage when sharing machine learning models or synthetic data.

Amidst reports of struggling Swedish public health sector IT projects, Finlands Medicines Agency, Fimea’s (i.e Läkemedelsverket) experience shows that focus on collaboration and user-centered design produces good outcomes