Sessions

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.

Digital health innovations are designed to help save time, boost accuracy and efficiency, and combine technologies in ways that will revolutionize the new digital healthcare era. By optimizing the right tools and open system platforms increases the innovation for healthcare - which has created tangible benefits for the entire healthcare-chain from the profession to patient with real-time access to patient information and improving care processes. Finland is the frontrunner in implementing open data in ecosystem platforms, learn how the CIO Toni Suihko from Kanta-Häme Hospital District (KHSHP) has increased the speed of healthcare innovations.

An interactive workshop to get familiar with the Social Return on Investment (SROI) methodology. The attendees will learn the basics about the SROI methodology and how this methodology is used within the European RE-SAMPLE project to ensure impact of the digital innovation for every stakeholder (societal impact). Next to this, the attendees will, by means of a group discussion, form a first opinion about the SROI methodology.

Third party apps extend the capabilities of electronic health record systems by offering additional capabilities and features, streamlining processes in specific therapeutic areas, bringing in patient generated health data, and providing advanced analytics and AI functionalities to get more benefits out of the data in the system.The HL7 FHIR specification is an enabler for this. This showcase presents dozens of FHIR apps connected to dozens of FHIR capable platforms.

Experiences with collaboration between hospital and vendor on information modelling, templating and software development attempting to increase speed and quality of product.

We benchmark the influence of four types of noise annotated in the public dataset PTB-XL on the accuracy of a Deep Learning-based method for atrial fibrillation detection in 12-lead ECGs. For this we use the noise metadata provided by human experts as well as a quantitative signal-to-noise ratio for assigning a signal quality to each ECG and analyze the respective DL accuracy. We conclude that the issue of processing noisy electrocardiography data can be addressed successfully by Deep Learning methods.

In our sector, the major cloud discussion the last few years focused on data protection - what data can we store in the cloud, and in which cloud? This talk takes a different approach and ignores the cloud as an outsourcing model. Instead, principles and methods for modern cloud technology are highlighted. Correctly adopted, they enable any software developing organization to accelerate the pace of innovation. This effect can even be achieved without migrating to the cloud, and without compromising data protection and regulatory compliance. 

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.

In order to improve the conditions for clinical research in Europe and to stimulate multinational clinical trials, CTIS - clinical trial information system - has been developed. It is a platform that is ONE single entrance to the clinical trial application and includes both the drug application and ethical approval. Several years of preparatory work and a one-year transition period have ended and from February 1, 2023 CTIS has been put into use and is mandatory to use. CTIS has been built and improved in close cooperation with users (industry and academia) and national pharmaceutical authorities and EMA, the European Medicines Agency.

Age-related macular degeneration (AMD) is a major cause of blindness in the West. This study utilizes spectral domain optical coherence tomography (SD-OCT) for retinal imaging and deep learning for analysis. A convolutional neural network (CNN) was trained on 1300 expert-annotated SD-OCT scans to identify AMD biomarkers. Transfer learning improved the CNN's performance using weights from a separate classifier. The model accurately detects and segments AMD biomarkers in OCT scans, potentially assisting in patient prioritization and reducing ophthalmologists' workloads.

The need for new skills for doctors innovating for the future and why an entrepreneurial mindset could be part of the solution.