Programpunkter

Our vision is to shape the future of European healthcare through the transformative power of AI. We envision a healthcare landscape where innovative AI solutions seamlessly integrate with existing systems, enabling improved patient outcomes, enhanced healthcare delivery, and equitable access to quality care. By fostering collaboration, advancing research, and facilitating market access for trustworthy AI technologies, we strive to revolutionize healthcare and empower individuals and communities to lead healthier lives.Our mission is to accelerate the development and adoption of AI solutions in healthcare by providing a cutting-edge testing and experimentation facility. We are dedicated to creating an environment that enables AI developers, researchers, and industry stakeholders to collaborate, innovate, and overcome the challenges of integrating AI into the healthcare ecosystem. Through rigorous evaluation, adherence to regulatory requirements, and a focus on ethical and societal aspects, we aim to ensure the safe, effective, and responsible use of AI in healthcare settings.

The European Genomic Data Infrastructure (GDI) is dedicated to facilitate secure federated cross-border access to high-quality genomic and phenotypic data for research, personalized medicine and policy making. The presentation introduces the project and highlights the progress achieved by the GDI consortium, consisting of 24 countries, with a focus on the technical advancements.

Summary of what joint action TEHDAS accomplished 2021-2023 and how Member States are preparing for the harmonised implementation of EHDS with TEHDAS2

A broad spectrum of health-focused communities are dependent on, as well as expecting more streamlined and effective solutions for secondary use of health data: rare disease and cancer research, health services research and public health, preparedness and response to health threats, to name a few.  With digitalization being both a priority and a success story in the Nordic region, the VALO project aims to deliver proof of how value from Nordic (digital) health data can be achieved and enhanced.

This presentation explores the complexities and costs associated with implementing new systems in healthcare, focusing on the challenges of migrating patient data and maintaining interoperability between systems. It proposes a novel approach using lightweight FHIR messages and OpenEHR standards to streamline data integration and preserve the integrity of electronic patient records. By adopting these methods, healthcare providers can enhance patient care, reduce clinical risks, and facilitate research, ultimately leading to more efficient and patient-centric healthcare solutions.

The presentation will provide an overview of how EHDS will affect the secondary use in Sweden and EU and how the ongoing EU projects will contribute to strengthen Sweden's ability to meet the requirements of the upcoming EHDS regulation.

InfCare HIV quality register and decision support tool has now been used nationwide in Sweden and in other Nordic countries for 20 years. In Sweden, a great amount of structured clinical data has been collected during the years and the Swedish HIV physicians have included the decision support system as an integral part of all patient-related workflows in the clinic. The system gives clinicians in their daily practice a holistic view of the patient’s state of health over time as well as real time access to key performance indicators regarding the care given at the clinic.Data from InfCare HIV has been used in numerous research projects and studies to support developing treatment guidelines and improve care pathways for HIV patients. BMJ Open recently published an article describing the first 20 years with the Swedish InfCare HIV cohort, Christina Carlander as the main writer.Beyond the InfCare HIV system, the presentation will cover some examples of similar clinical information management systems for other medical specialties.

Discover the potential of the European Electronic Health Records Exchange Format (EEHRxF) for healthcare interoperability in the EU, as we delve into the XpanDH project's role in advancing the European Health Data Space (EHDS) regulations and bridging healthcare delivery and clinical research scenarios.

Artificial intelligence (AI) has the potential to improve the efficiency and safety of medical history-taking and triage in primary care. However, there is a lack of knowledge about the practical implementation of AI systems for these purposes. This study explores healthcare leaders’ experiences of barriers to implementing an AI system for automated history-taking and triage in primary care, and the actions they took to overcome these barriers.

Sjukvården i Danmark är för närvarande under en enorm press. Inte bara patienten och kvaliteten på arbetet påverkas, utan även vårdpersonalen som läkare och sjuksköterskor. Det finns ett konstant tryck på att få mer arbete gjort på kortare tid, samtidigt som den höga kvaliteten bibehålls. Overläkare Michael Nielsen från Region Midtjylland kommer att förklara konceptet bakom att ompröva hur läkare och sjuksköterskor arbetar och fördelarna med att tillåta innovation från slutanvändarna av automation.

Background, current status, and Swedish perspective of the cross-border services for Primary use in Europe.European initiatives to support the development and implementation of services for Primary use across national borders as Direct Grants and Joint Actions.The Swedish eHealth Agency is the National Contact Point for eHealth and prepares the Swedish cross-border eHealth services.

Case study describing AI Chest Radiograph the approach to evaluation to support decision making to adopt

Breaking the waves – accelerating health innovation. 
Welcome to an afternoon that will help you unlock your global business potential!

The European Health Data Space (EHDS) is an EU-wide initiative in digital health aiming at a more effective use of health data for healthcare services provision, research, innovation, policy-making and regulatory activities. While the proposal for a Regulation on the EHDS is being negotiated between the European co-legislators, there are a number of initiatives that have already been launched to prepare the ground for its rollout. In this presentation, the European Commission will give an overview of the state of play of the implementation of the EHDS.

Implementing AI in healthcare safely and effectively presents a unique set of challenges. From data quality, information security, systems change, evidence generation, clinical safety and workforce transformation this session discussions the key challenges in the adoption of AI and how they might be tackled.

EIT Health organised a series of 11 roundtable discussions across Europe, bringing together experts and stakeholders from across the public health, healthcare, and health data ecosystems. The presentation will summarize the key recommendations and findings on a European level, presenting results from the EIT Health Think Tank report launched Spring 2024. 

When the Vitalis Conference takes place in May 2024 the new EU Regulation for the European Health Data Space (EHDS) may already have been finally adopted and entered into force. EHDS aims to empower the citizens when it comes to having control over their own health data. At the same time contributing to health care as well as research and innovation by providing access to relevant health data in an efficient and secure manner. Expected outcomes include for instance new innovative medical treatments and diagnostics, development of AI tools, and Precision Medicine, thus optimizing value from health data, for the benefit of individuals as well as society as a whole. However, there is no doubt that the implementation of EHDS also comes with substantial challenges of different kinds.This introduction will give an update on the status of EHDS, on preparative EU projects and describe EU and Swedish aspects on interoperability layers of legal, technical, semantic and organizational character.