Programpunkter

The Norwegian project "Safer health apps" has looked at how Norway can increase the uptake of health apps in the society – as part of the national, public health service – and developed a "how-to" guide for quality assessment of health apps and similar technologies.

Digital healthcare technologies (DTHs), including health apps, have brought with them a great potential to further develop healthcare services, but their introduction should follow the same criteria as other healthcare methods. The health technology assessment (HTA) supports decision-makers by producing the unbiased assessments of different type of health technologies. In Finland, the Digi-HTA process supports HTA activities for all types of DHTs, such as health apps, artificial intelligence and robotic solutions. In order to ensure that Digi-HTA would be as compatible as possible with other recognized assessment methods, the Finnish Coordinating Center for Health Technology Assessment (FinCCHTA) has carried out a comparison work that includes the DiGA and NordDEC assessment models and the CEN/ISO TS 82304-2:2021 technical specification.

The aim of this presentation and paper is to identify the underlying obstacles and provide recommendations to promote the dissemination of competency-based learning objectives catalogs for curricular development in health data and information sciences.

Deep learning models for radiology are typically deployed either through cloud-based platforms, through on-premises infrastructures, or though heavyweight viewers. This tends to restrict the audience of deep learning models to radiologists working in state-of-the-art hospitals, which raises concerns about the democratization of deep learning for medical imaging, most notably in the context of research and education. We show that complex deep learning models can be applied directly inside Web browsers, without resorting to any external computation infrastructure, thanks to the use of WebAssembly, and we release our code as free and open-source software. This opens the path to the use of teleradiology solutions as an effective way to distribute, teach, and evaluate deep learning architectures.

Egenmonitorering kommer vara ett normalt inslag i framtidens vård, det kommer kräva nya teknologier och verktyg. Att vara medborgare och  patient på en vårdmarknad med tusentals aktörer och och extremt många datapunkter kräver nya sätt att interagera på. I en decentraliserad värld kan medborgaren samla och nyttiggöra data från multipla källor samt dela datan för ökat värdeskapande och person anpassad vård. MyData operatör eller Data intermediaries inom ett framtida European Health Data Space (EHDS) kräver inte bara certifiering utan även etisk styrning för ökad tillit. Var står vi idag, efter att under våren ha jobbat med Diabetes som användarfall, vad behöver vi fortsatt utveckla och vilka styrmedel krävs för att skapa tillit i den nya data delningsekonomin.

The German DiGA process has raised international interest, with more than 30 digital solutions which has received temporary or permanent reimbursement. In this session there will be an overview of the process and summary of how the insurance companies see the process. What can we learn from their experience?