Programpunkter

Hospitals and healthcare systems face significant challenges in delivering high-quality care while optimizing efficiency and productivity. New technological solutions play a crucial role in addressing these challenges. Innovative technology solutions can enhance workflows and increase productivity.Health logistics have already shown promising results with and the future holds exciting expectations. By analyzing the efforts made so far, we can better understand what is needed to continue improving and adapting to changes. In this session we ger inspired by successful transformations from Norway.

Welcome to a session focused on Dutch healthcare, challenges, and opportunities with the digital transformation. We will have presentations from three top leaders followed by a FIRE side chat.

The lecture will shade light on the efforts of ZIMAM to develop a standardized competency-based framework for digital health careers which can be utilized in collaborative approach by individuals, recruiters and digital health educational contents providers to support on the job education, job-profiling, assessments and career-pathing of digital health talents. The proposed approach combines several methodologies and conceptual platforms and it is well-supported by a digital platform.

The market for remote social and healthcare is rapidly changing and Altide is leading the coordination of communication and service in the connected care. In this inspiring session, Maarten will share some key insights in how the market in the Netherlands is changing and how Altide is adopting its services to these changes and enhancing the quality and efficiency within social and healthcare coordination.  

This presentation focus on medicine robot services and the content is also presented in the Nordic report “Distance spanning solutions in health care and care: Climate impacts and sustainability synergies” that was published in November 2024 by Nordic Welfare Centre. An introduction will be held based on the publication and then there will be focus on medicine robot services in health care and care: contribution to the green transition.

Fimlab is Finland’s largest healthcare laboratory company that produces laboratory services as well as training and research in the wellbeing services counties of Pirkanmaa, Kanta-Häme, Central Finland, Päijät-Häme and Ostrobothnia.As part of the support services it provides, Fimlab has developed a new software, the Self-Measurement Application, for the use of its wellbeing county customers. The Self-Measurement Application is an application developed for diabetes professionals that enables the collection of self-measurement data from device-specific cloud services onto the same platform alongside laboratory test results and the automatic transfer of data to the patient information system. In addition to the patient-specific benefit, the Self-Measurement Application enables device lifecycle management and statutory traceability and provides the customer organization with information on the costs of devices and the effectiveness of different device treatments for data management.

Multimorbidity, the coexistence of two or more chronic conditions, represents a pressing challenge for healthcare systems in Europe as populations age and the prevalence of complex health conditions rises. Current healthcare models, which are often siloed and reactive, fail to meet the interdependent needs of multimorbid persons (PMM). The CareMatrix Challenge under the EU Horizon 2020 framework seeks to address these gaps by fostering the development of scalable, patient-centered, and interoperable solutions.The INCA (Integrated Care) solution, developed by a consortium of clinical, academic, and technological partners, offers a comprehensive response to this challenge. Built on a telemedicine platform provided by Doole Health, INCA combines clinical expertise from Fight Infections Foundation and Germans Trias i Pujol Research Institute with academic contributions from the Open University of Catalonia and the Norwegian Centre for E-Health Research. Together, the consortium has created a solution that emphasizes interdisciplinary collaboration and patient empowerment.The INCA platform consists of a mobile app for patients and caregivers and a web-based interface for healthcare professionals. Features include tailored questionnaires for early identification of PMM, an electronic health and social record, shared care plans, a messaging system, and a clinical decision-support system. The platform’s gamified tools promote adherence to treatment and healthy habits, while its multichannel communication framework ensures seamless coordination across care levels. A standout capability of INCA is its ability to integrate diverse data sources, including social and behavioral information, enabling a holistic overview of patient health.Compliant with the principles of the European Health Data Space, INCA ensures secure, high-speed data exchange while leveraging an open-source infrastructure for interoperability. The platform’s flexibility allows for customization to meet the unique requirements of various healthcare systems, legal contexts, and care pathways, facilitating deployment across diverse settings.To validate its usability, functionality, and impact, the INCA solution will undergo clinical testing at three European sites: Region Skåne (Sweden), Vestre Viken (Norway), and Osakidetza (Spain). These evaluations will assess user experiences from patients, caregivers, and healthcare professionals, providing essential feedback to refine the solution and demonstrate its potential to transform care for multimorbid populations. Through its holistic approach and innovative design, INCA is well positioned to address the systemic challenges of multimorbidity and contribute to sustainable, integrated care.

Discover the road to streamlined healthcare delivery through enterprise imaging. This presentation explores how unified content and process solutions can revolutionize patient care across your organization.

The presentation describes the potential of remote monitoring of vital physiological signs as part of supporting the independent living of older adults. A study was conducted in which 10 seniors measured their vital physiological signs over a 2-month period using a mobile application. Participants found the measurement easy and useful, but challenges arose in interpreting the results. Learn more, what is important when developing remote technologies for seniors.

The ASAP Stroke project aims to improve prehospital stroke care by leveraging artificial intelligence (AI) for early assessment and triage. The project focuses on integrating diverse data sources, such as registry data, videos, and vital signs, to create predictive models that identify stroke, distinguish large vessel occlusions and guide optimal care pathways. The project also explores synthetic data generation to address privacy concerns. By improving early stroke assessment and patient triage, ASAP Stroke aims to bridge the gap between prehospital and in-hospital care, ultimately improving treatment outcomes and reducing time-to-treatment.

Asthma is a devastating disease affecting more than 334M people in the world. 40-60% of them suffer from moderate to severe asthma of which 30% would benefit from additional remote monitoring and/or digital health tools. It has been shown in literature that easy algorithms can improve asthma control by 30% by increasing therapy adherence. Artificial intelligence opens up the door towards risk prediction and self-learning medication and therapy adaptations. This session will specifically zoom in on the potential of AI in predicting risks for exacerbations and loss of asthma control. Moreover we will shed lights on the potential of novel (digital) biomarkers to drive AI-based risk prediction. Lastly, the efficacy of all digital tools is limited to their reach into patient engagement. How to keep the patients and clinical team onboarded? Can we calculate the impact from the tools to what it means in terms of savings for healthcare systems? And how this is affected by patient engagement? Can we formulate some guidelines towards future developers and policy? Treatment is good but prevention is better, and for that we need the tools, the engaged patients and a favorable environment. The session will share insights of recently published data, next to the announcement of a promising clinical trial that will start in Belgium and the Netherlands in Q2 2025. 

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.

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.

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.

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

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.