Programpunkter

This is a qualitative study applying the Safety II framework to digital mental healthcare. It investigates how clinicians integrate and adapt digital tools (such as video, iCBT programmes, clinical outcome measures, messaging) in their everyday practice to successfully build and maintain therapeutic relationships, focusing on 'work-as-done' rather than ‘work-as-imagined’ (e.g. written work routines). The talk will provide practical insights into real-world clinical adaptations and informal workarounds that support patient safety and outcomes in digital mental healthcare.

A digital therapies pilot is currently underway in Finland, building on an already established national quality framework for health apps - digiHTA. The aim of the trial is to determine how digital therapies – such as evidence-based digital therapies and self-care programs – could be made available to users with public funds. The trial will offer healthcare professionals and their patients the opportunity to try out for free how digital treatments support holistic treatment success. All solutions are evaluated using Finland’s national digiHTA assessment framework. The results will inform future national recommendations and reimbursement models.

This study aims to promote mental health and prevent mental ill health among young adults aged 18–30 through PadAI, a collaborative research initiative between Halmstad University, Region Halland, and Capio Ramsay Santé within the CAISR Health research profile. The presentation reports newly obtained empirical findings that illuminate healthcare trajectories from two complementary perspectives: young adults’ subjective experiences of engaging with healthcare services and large-scale analyses of electronic health records. The qualitative results describe four different scenarios of how individuals experience and navigate mental healthcare journeys, with varying complexity from easy and straightforward interactions to complex and unfulfilling interactions with the healthcare organization. On the other hand, the quantitative analysis performed using 644,827 healthcare encounters among 12,040 young adults identifies two distinct patient groups differing in comorbidities preceding the onset of anxiety and depression diagnoses. These perspectives are contrasted and discussed in relation to subjective needs and organizational structures within healthcare. 

A live experiment testing whether frontier AI models can reliably convert clinical narratives to FHIR and back. Daily automated benchmarks reveal what works, what breaks, and what this means for the future of health data exchange.

Long waits for dermatology assessments risk delays in the diagnosis of high risk skin cancers, which have a significant impact on patients’ treatment and survival outcomes. This session shares five years of real-world experience using DERM, a Class III CE-marked AI as a medical device (AIaMD) approved to make autonomous triage decisions when assessing cases where there is a suspicion of skin cancer. With studies indicating that DERM matches dermatologist performance in ruling out malignant melanoma, the technology has supported NHS dermatology services to identify low-risk cases and release specialist capacity to focus on high-risk patients, with partners experiencing significant improvements in waiting times to access care. Attendees will learn how AI can support effective teledermatology deployments, optimise clinical workflows, and support waiting lists reduction initiatives, while practical insights and data from NHS deployments highlight where in skin cancer pathways AI can deliver the most value.

Clinical Decision Support (CDS) is shifting from proprietary rule engines to FHIR-based architectures. This evolution enables organizations to design, publish, and maintain portable knowledge artifacts – from computable guidelines expressed with CPG/CQL to FHIR Quality Measures and CDS Hooks services – that can be shared across sites, systems, and country borders.This session provides an overview of FHIR‑based CDS and shares pragmatic examples. We will discuss how the European Health Data Space (EHDS) could reduce friction for cross-border FHIR-based CDS and conclude with a call to action for Nordic collaboration.

FHIR has become the dominant standard for exchanging clinical and administrative data. But the real opportunity begins after the data is exchanged.This session introduces the concept of interoperable analytics and intelligence — the ability to run analytics, Clinical Decision Support (CDS), and Business Intelligence directly on standardized FHIR data across systems and organizations.We will explore FHIR as a data model, SQL on FHIR as a bridge to analytical ecosystems, and CQL as a formal language for clinical logic — and how these technologies together enable scalable, interoperable intelligence on top of FHIR data.

An introduction of the Vitalis Hackathon, presented by the hackathon track leads.