Programpunkter

Annual presentation of how the HL7 FHIR standard has been applied in the Nordics.

Secure access to health data is vital for high-quality care and innovation in the Norwegian healthcare sector. Oslo Municipality and its partners are collaborating to develop a common API based on HL7 FHIR, creating a foundation for EHR system interoperability. This effort draws on practical experience and aligns with international initiatives like the European electronic health record exchange format (EEHRxF)

Emerging adulthood is a time of infinite possibility — and profound vulnerability. As young people navigate the turbulent waters between adolescence and adulthood, they face a shifting landscape of identity, purpose, career and independence. Today, many emerging adults are grappling with unprecedented levels of anxiety, loneliness, depression and self-doubt.How does "growing up" in an era of constant change affect our youth? And how can we—educators, mental health professionals, policymakers, community leaders, innovators, and investors—ensure that young people can thrive? This panel discussion invites you to explore these questions and rethink how we approach mental health for the next generation. 

Computer science and psychology are poised to revolutionize mental health care. This fusion of the two disciplines is transforming not only the accessibility of care but also its quality, benefiting both those seeking treatment and the professionals delivering it. The discoveries made at this intersection promise to address global challenges in mental health by improving efficiency, personalization, and scalability

Norge har gjort betydelige fremskritt innen implementering av kunstig intelligens (AI) i radiologi. Basert på erfaringer fra storskala implementeringer ved flere sykehus i Helse Sør-Øst, har vi anskaffet tre AI-plattformer som gjør de fleste CE-merkede AI-løsninger innen radiologi tilgjengelige for hele den norske spesialisthelsetjenesten. Dette opplegget beskriver de praktiske implikasjonene og hvordan sykehusene samarbeider om validering av AI-løsningene.

Therapeutic alliance is a key predictor of treatment outcomes, with microcounseling skills—such as reflective listening and open-ended questions—playing a vital role. Regular, especially immediate, feedback helps therapists refine these skills, but traditional coding methods are costly and time-intensive. This study explored fine-tuned Large Language Models (LLMs) to automatically identify microcounseling skills in psychotherapy sessions.Using annotated psychotherapy transcripts, the model was trained to classify therapist statements, explain its classifications, and suggest alternative responses. The model demonstrated strong overall performance (Accuracy: 0.74, Precision: 0.81, F1: 0.75), yet faced challenges with more nuanced relational dynamics.The findings highlight the potential of LLMs to provide scalable, automated feedback on therapist skills, demonstrating the feasibility of using digital tools to enhance psychotherapy effectiveness.

Everyone agrees interoperability is key to affordability and equity in healthcare. It's no surprise that information standards - the prerequisite for interoperability - play a role in policies in many countries. At the same time, achieving interoperability is hard, even when it's based on modern technologies that have disrupted other industries. Why is interoperability so hard in healthcare?

This presentation is about a master thesis work, a collaboration between a group of researchers from Halmstad University and Statistikkonsulterna AB. The project investigated how machine learning and survival analysis can be used to predict suicidal behavior among older adults in Sweden. The study analyzed historical data from the Swedish National Registry, including medication use, medical conditions, and sociodemographic details. The research aimed to improve prediction accuracy by combining survival analysis techniques — such as Cox Proportional Hazards (CoxPH), Random Survival Forest (RSF), and Gradient Boosting Survival Analysis (GBSA) — alongside sequential machine learning approaches, like Long Short-Term Memory (LSTM) networks. The findings highlighted the potential of utilizing historical data to predict suicide risks using advanced machine learning models.

DIGIT-PRE addresses critical health challenges in Europe, focusing on areas such as Mental Health, Neurological Conditions, Rehabilitation, and Healthy Ageing. These challenges, originating from ten European regions, reflect real and urgent needs. DIGIT-PRE supports small and medium-sized enterprises (SMEs) in developing innovative digital health solutions tailored to meet these challenges and needs. 
By combining regional collaboration with a tailored Innovation Support Program, the project has scaled solutions targeting prevention, prediction, and remote care with the aim to relief societal and health care system stressors. This session will showcase promising digital health innovations and explore how they generate impact at a pan-European level, illustrating how regional challenges can drive global innovation and deliver lasting societal benefits.

Healthcare AI is stuck in endless pilots, failing to scale where it's needed most. In this session, Corti Co-Founder and CEO shares how purpose-built AI infrastructure is key to breaking this cycle, enabling developers and healthcare providers to move from concept to clinic and achieve adoption at scale.

Healthcare is undergoing a digital transformation as advanced analytics, artificial intelligence (AI), and connected devices revolutionize clinical decision-making, care delivery, and patient outcomes. Despite their potential, the adoption of these technologies remains slower than in other industries, largely due to the complex interplay between technology implementation and clinical practice. Previous research has largely overlooked this complexity, particularly regarding how healthcare professionals’ adoption decisions intersect with MedTech firms’ capabilities. The purpose of this presentation is to show how healthcare professionals adopt digital technologies and how MedTech firms' capabilities facilitate healthcare digitalization. The findings indicate that successful digitalization and value creation emerge through structured interactions between these key stakeholders. Healthcare professionals navigate multiple value dimensions and implementation tensions through paradoxical thinking, while MedTech firms extend their role beyond technology development to actively support the adoption process. This interplay, characterized by shared resources, aligned expectations, and joint problem-solving, creates a foundation for healthcare digitalization that effectively meets clinical needs while generating sustainable value.

The FHIR in the Nordics presentations are followed by a panel debate where participants, together with Grahame Grieve, under moderation by Vadim Peretokin, discuss what should be aligned between the countries, and what should be learned as well as un-learned, to help make the Nordic market united under a FHIR interoperability banner.

This study evaluates the impact of the Migrevention Digital Headache Clinic in large primary care practice in Estonia over a one-year period. The analysis focuses on key healthcare efficiency metrics, including the reduction of headache-related general practitioner (GP) visits, improvements in care speed, and enhancements in overall care quality. Results demonstrate a significant decrease in GP appointments for headache management, indicating a shift toward more efficient, specialized digital care pathway. Additionally, the study highlights improved patient outcomes and satisfaction. These findings suggest that digital headache management solutions can effectively alleviate the burden on primary care while optimizing healthcare delivery.

Healthcare cybercrimes are increasing, affecting patients, providers, and entire communities.Medical information systems' complexity can offer entry points for hackers with further potential to disrupt the ability to deliver care. Providers aim to stay resilient with secure technology from manufacturers and regulators. Medical device manufacturers, in particular, have a significant role to play, which entails incorporating ‘security-by-design’ principles into their monitoring and therapy products as required by laws and directives such as those mandated in the European Commission’s Medical Device Regulation (MDR).'Security-by-design' ensures safe, reliable medical devices. System connectivity and interoperability need to be kept simple to remain effective, while MCIS subsystems are called upon to provide more and more insights supporting better care decisions. The promise of the next generation architecture is to decouple the data producers (the medical devices) from the data consumers (the clinical applications) using a medical device information platform (MDIP) that acts as an isolating backbone.

FHIR in Ukrainian eHealth

The rise of closed-loop systems in healthcare introduces significant cybersecurity challenges, as these devices autonomously measure, analyze, and act on physiological data. Key risks include vulnerabilities in sensors, actuators, and control algorithms. This presentation explores the regulatory frameworks of the EU Medical Device Regulation (MDR) and U.S. FDA, with a focus on FDA guidelines for physiological closed-loop controlled devices. A real-world case study highlights the challenges in securing these systems. Practical recommendations are provided to help manufacturers address evolving threats and ensure safety and reliability throughout the device lifecycle.

This keynote dives into how femtech isn't just about women, it’s about fundamentally rethinking how we build healthcare. Through the lens of Daya’s startup creation process, you’ll hear stories of ventures tackling pregnancy, menopause, mental health, and more - and what they reveal about the cracks in the current system.

Status of the first nationwide dissemination of FHIR-based standards in Denmark. The strategy is to use all datasharing paradigms with FHIR, where this case is a messagetype called "HospitalNotification" sent from regional hospitals to municipalitie careteams when patients are admitted or discharged.

The Norwegian FHIR vital signs profiles have been designed for exchange of the most important vital signs between systems, devices, and healthcare organizations in the national Norwegian healthcare system.The FHIR profiles are designed to be used for searching for and exchanging vital signs observations between software systems and are based on FHIR vital-signs, SNOMED CT terminology and OpenEHR logical models.The presentation will elaborate on lessons learned during the development process. 

The presentation will explore the methods and standards for generating clinical evidence to validate the safety, efficacy, and effectiveness of mobile health apps. It will cover key regulatory requirements, study design approaches based on a case study of successful clinical validation, offering insights into achieving acceptance in healthcare systems and reimbursement pathways.