Sessions

Healthcare longitudinal data offers endless opportunities such as diagnostics, and prognostics, to care personalization and improving healthcare quality and efficiency. These can be achieved through Artificial Intelligence (AI), data science, and in specific machine learning (ML). However, lack of inscrutability of the AI/ML-based techniques has hampered pervasive AI in healthcare systems. In this talk, we will introduce graph-based approaches for collecting, storing, visualizing, analyzing, and modeling healthcare data, and discuss how they outperform the other available approaches. We will also discuss challenges around health data and how synthetic data can mitigate them.

In this session, we will present an overview of a study about the use of IoT in schools. We engaged with IoT experts to discuss how IoT-based solutions could help to improve the health and well-being of students, teachers, and other school staff. We present the main themes that surfaced in expert interviews, containing ideas on how IoT could help fulfill the needs and requirements of school personnel and students.

The application of artificial intelligence (AI) in healthcare is at an early stage and research has shown difficulties with actual implementation in practice. Welcome to participate in an exciting workshop where you are introduced to a methodological and newly developed framework for supporting implementation processes in clinical practice.

Region Östergötland har som uppdrag att stärka möjligheterna för egenmonitorering både i primärvård och sjukhusbaserad vård samt nyttja egenmonitorering som förstahandsval för patienter med kroniska sjukdomar (i de fall det gagnar patienten). Möjligheten är att vårdformen när den är fullt ut införd kan ta hand om 5000-10000 patienter. Införandet har skett parallellt med den pandemi som pågått vilket inneburit en försening, men det finns goda exempel där vårdenheter som nu tar kliv för att kunna möta det behov som fanns innan pandemin och som nu vuxit och behöver nya arbetssätt för att kunna mötas. Boxholms vårdcentral gjorde ett strukturerat införande vad gäller astma inom ramen för ett utvecklingsprojekt i primärvården. Målbilden var och är att låta behov styra kontakten, en större kontinuitet i sin behandling och att fler ska kunna tas om hand. Boxholms vårdcentral erbjöd gruppträffar där patienterna anslöts till egenmonitorering och fick sin vårdplan. Under ett år följde och utvärderade vårdcentralen arbetssättet och kunde se att kontakter och dess kostnad minskat med hälften, att patienterna var nöjda och deras självskattning av astma var oförändrad. Boxholm Vårdcentral berättar om sin införanderesa under pandemin, deras lärdomar, hur dom praktiskt gör och tänker framåt.

Implementation Status of the Proposal for a Regulation of the European Health Data Space in Portugal.

To introduce regional implementation of technologies and digital services for well-being, ageing and care of older people at home in Finland in a governmental programme called ‘Smart Ageing and Care at Home’ (‘KATI’ for the Finnish Acronym) in 2020-2022. Technologies were acquired according to regional needs by usual procurement.In the workshop we present evaluation results and the Finnish model to implement technologies for ageing and care of older people at home (the KATI model). It was developed based on the experiences from the renewed service models in the regional projects. The model also includes the technology solutions that the regional projects integrated into their services.The participants will get knowledge about well-working service models, how technologies have been implemented successfully in the Satakunta Wellbeing Services County, as well as remaining challenges to be overcome. We will discuss with the participants how the model can be used in other regions. We and the participants will share experiences on implementing technology in home care services.We will present national plan for continuous collaboration and Finnish healthtech network for wellbeing services counties. Participants can share their expectations, possibilities and contributions to share good practices, and for international collaboration. They can also ask question about the Suvanto Care solution that was implemented in the Satakunta Wellbeing Services County.We expect discussion and feedback from participants of the KATI model and national coordination model.

Artificial intelligence (AI) can potentially contribute to solutions to some of the major challenges facing healthcare systems around the world. However, the development of new AI applications does not guarantee that they will be routinely used in clinical practice. It is well established in implementation and innovation research that the introduction of new technology is associated with various forms of obstacles and resistance. This contributes to delayed and variable application and a high risk of losing the potential value they can bring to the healthcare system in terms of quality, safety, accessibility and optimization. In this presentation, we provide an overview of state of the art regarding the implementation of AI applications in healthcare today. We also suggest ways forward, how to develop successful strategies for implementation and work structured with implementation processes.

We suggest a process for finding elements of interest from FHIR profiles to support the setup of data quality assessments for data stored in FHIR servers.