Sessions

LTTS solution/presentation describes how connected care systems integrated with AI, is helping in  remote monitoring of patients, streamlined workflows, report generation, preventive, personalized health care. 

While EHDS represents a landmark regulatory framework, its success hinges on our collective ability to transform fragmented, variable-quality health data into actionable insights that benefit patients, researchers, and healthcare systems. This panel brings together experts who have implemented practical solutions—from Luxembourg's implementation pathway and XpanDH project recommendations to cancer research initiatives and the development of ecosystem approaches—to discuss how we can make health data truly work across primary and secondary uses.

What are the key insights from this morning in AI in Precision Health in the Bay Area: from Stanford University and UC Berkeley?

Get a glimpse of tomorrow’s healthtech breakthroughs at the Healthtech Startup Pitch Event, where 10 promising startups presents their solutions.
Moderator: Emma Hallenberg, Director CO-AX, Sahlgrenska Science Park
Panelists: Erica Bonns, Läkare, Tor Sander, Investment Associate, Sciety, Petter Wolff, Business Advisor and Specialist Healthtech Systems, CO-AX, Sahlgrenska Science Park 
Session nr 2 – starts kl. 12.00
Nr 1 - Picocare Europe BV
Nr 2 - Mirno
Nr 3 - Inference Labs AB/Saluto
Nr 4- OptiSense Care AB 
Nr 5- Otherside At Work Sweden AB
Nr 6 - Konvoj AB
Nr 7 - MediScribe
Nr 8 -  DentView

The Dorieh Data Platform, developed in collaboration with Harvard, utilizes comprehensive data management tools, including domain-specific languages, to enhance data provenance and regulatory compliance in health research. By enabling detailed lineage tracking and error logging, Dorieh ensures trustworthy and reproducible use of health data. Its application to Medicare data demonstrates its effectiveness, with potential scalability to frameworks like the European Health Data Space, reinforcing modern data governance strategies.

In healthcare IT, innovation is a necessity, not a luxury. Traditional coding demands deep expertise and lengthy timelines, while low-code platforms often fall short in standardisation and interoperability. Enter the transformative data-first low-code approach—a paradigm that combines the speed of low-code development with the robustness of standardised data models like openEHR and FHIR. 
Imagine building a clinical application in hours, not months, without sacrificing compliance or functionality. This approach is all about pre-built, clinically verified data models that embed domain knowledge directly into the development process. The result? Faster, interoperable, and cost-effective healthcare solutions. 
At Vitalis 2025, Jovan Pavićević, Chief Growth Officer at Better, will demonstrate how this methodology is revolutionising healthcare IT. He will show how this approach works all the way from national-level shared care records to application development in clinics of all sizes all over the world. Learn about how low-code tools empower developers, clinicians, and analysts to collaboratively create future-ready healthcare applications. 
Join the session to explore how data-first low-code development delivers standardisation, accelerates innovation, and lowers costs—redefining what’s possible in healthcare IT. 

A presentation of important EHDS questions from the perspective of Region Stockholm and Karolinska University Hospital.

As healthcare research advances rapidly, institutions face the dual challenge of building robust data foundations for innovation while implementing necessary safeguards for ethical and regulatory compliance. This panel brings together experts from Harvard's Dorieh Platform, Karolinska's Data Strategy, and SciLifeLab to explore practical approaches for balancing innovation imperatives with the increasing stringency of data protection regulations.

Sweden and Silicon Valley are two of the most innovative place in the world and both have a strong focus on applied AI. But how can better connect the two ecosystems of applied AI in precision health, collaborate and learn from each other?

Showcase Data-reuse challenges tackled with IDEA4RC solutions

Handling of health data for AI in the US and Europe vary vastly. What are the different approaches and how does that effect healthcare and the patient?

Presentation of of the Horizon Europe project, AIDAVA with specific focus on 3 aspects: architecture and technology components,  results of the evaluation of the first generation of the prototype, value of AIDAVA as interoperability enabler for the implementation of the EHDS

Learn how startups can scale globally through the CO-AX Market Access Program. Featuring insights from UC Berkeley, Mediq Innovation, and Hannover Health Innovation Space.
 
Join us at Innovation Stage during Vitalis for an engaging session on how healthtech startups can leverage CO-AX’s Market Access Program to scale internationally. We will outline similarities and challenges in entering new markets by showcasing real-world cases with our collaborations in USA with UC-Berkeley Deep Tech Lab and Germany with Mediq Innovation and Hannover Health Innovation Space. The session with highlight how startups have leveraged product-market fit assessments and pilot programs to overcome entry hurdles and shed insights on how structured market access initiatives can accelerate growth and commercialization.  

A brief presentation on the Swedish eHealth Agency's approach to AI, covering both internal implementation and the development of digital infrastructure to enable AI adoption in healthcare.