Programpunkter

Get practical and strategic tips on how you get your health tech or medtech product faster and cheaper approved. For most start-ups getting regulatory approval is like eating an elephant, you have no idea where and how to start. Jesper will break down the process, and give you practical tips on how you can avoid regulation, and if your product is regulated, what some of the best tips are to get through this process faster and cheaper. Jesper's advice is based on learnings from +100 start-ups and scaleups.

Working in healthcare is a challenge of motivation for people who already work in the system, or choosing this area as a student. The case covers how we targeted the workflow of nurses and doctors at more than 20 emergency departments in Ukraine to improve workplace safety.

Introducing Progalit, a pioneering Medical Device as Software (MDSW) designed to transform the management of kidney stone disease. Validated for patients with uric acid diathesis and mixed stones, Progalit uses advanced data analysis to deliver personalized care. The software generates specific treatment recommendations that alkalinize the urine, effectively dissolving stones and preventing recurrence. Progalit, the first AI for kidney stone disease managed under physician supervision, brings digital precision to nephrolithiasis metaphylaxis.

This presentation explores the critical intersection of healthcare data analytics, nurse-sensitive indicators (NSIs), and benchmarking as catalysts for nurse-led innovation. Drawing on contemporary evidence and best practice frameworks, the session will demonstrate how nurses can harness data-driven insights to identify gaps in care delivery, benchmark performance, and lead innovation initiatives that improve patient outcomes and organizational efficiency. Participants will receive an example of a methodology for translating data into actionable practice improvements and understand the essential role of nursing leadership in fostering a culture of innovation.

How are the Finnish wellbeing services counties preparing for pharmaceuticals, healthcare supplies plus vaccines logistic in threat and crisis situations? In this presentation, representative from wellbeing services counties and Finnish experts will explain how the logistics of supplies can be streamlined.

The first in a three-part series, this session explores what people think about 1177 Journal, 14 years after its implementation. We look at the benefits experienced by both patients and healthcare professionals, while also highlighting potential risks, such as threats to the patient-provider relationship that may arise from encountering erroneous information in health records. This discussion sets the stage for ‘Part II. How accurate is 1177 Journal?’, focusing on the impact of incorrect, incomplete, or ambiguous data in the health record.

How can we make lifesaving skills training accessible, repeatable, and measurable? LifesaverSIM addresses this challenge through mobile-first, game-based simulations that help first responders develop procedural memory and decision-making under pressure. The platform supports large-scale deployment, works without specialized hardware, and records user actions to generate objective assessment and training analytics. This presentation will show how simulation, gamification, and data-driven insights can extend emergency preparedness training for first responders, emergency services, and other high-risk sectors.

Authors: Angela Wolff, Andrea Orr, Darlaine Jantzen, Karen Larochelle, Richard Sawatzky, Tracy Stephen, Landa Terblanche

Authors: Jessica Persson Kylén, Jessica , Sara Björns, Sofia Torstensson, Carina Fjällman, Ulrika Lindmark, Sven Persson Kylén, Catharina Hägglin, Helle Wijk

The second in a three-part series, this session examines how accurate the 1177 Journal really is, and what that means for patients and healthcare professionals. We unpack where documentation goes wrong, why it happens, and how these inaccuracies shape safety, workflow, and communication. A sharp look at the everyday realities behind clinical notes, setting the stage for 'Part III. What is the role of generative in 1177 Journal?' on the promises and pitfalls of AI.

The third and final session in a three-part series explores how generative AI (genAI) may support—or complicate—efforts to improve clinical documentation and communication. Building  on discussions of patients’ experiences using 1177 Journal and the accuracy of the information patients read in their 1177 Journal, this session shifts focus to genAI from both healthcare professionals’ and patients’ perspectives. We examine how AI is reshaping documentation practices, clinical workflows, and patient understanding, while raising critical questions about trust, usability, and real-world impact.

The health sector is undergoing rapid transformation driven by artificial intelligence and other digital technologies, which are now integral to health system delivery. Data underpins these systems and must be governed responsibly and equitably through strong legislative frameworks that improve health outcomes while protecting rights and upholding data sovereignty.This presentation will look at Health data governance in the digital age, including how AI is changing the game

Connected Mental Health technologies are rapidly transforming Swedish mental health care, and our interview findings offer a first look at what this shift actually means for clinicians. This talk shares emerging insights into how digital mental health is reshaping clinicians' pace, focus, emotional load, and daily routines, revealing unexpected opportunities, unintended consequences, and early signals of where digitalization is truly helping or hindering those who deliver care.

Get a glimpse of tomorrow’s healthtech breakthroughs at the Healthtech Startup Pitch Event, where 7  promising startups presents their solutions.

This presentation explores the ethical dimensions of predictive AI in Parkinson’s management from the perspective of people living with the condition. Drawing primarily on a qualitative study with a patient panel in a European project developing predictive AI tools, we examine how participants view AI-driven risk prediction, prognosis, and medication response tools.

As AI moves from pilots into clinical use, responsibility shifts from project teams to institutions. This panel examines who has the authority to approve, pause or withdraw AI systems in healthcare and what evidence is required to justify those decisions. A discussion for leaders facing real accountability beyond experimentation.