Sessions

Hear from NHS thought-leader Shaun Crinion as he explains his vision for the NHS111 Smart Triage Service and discusses the impact already being seen across the system.

Denmark aims at promoting coherence across sectors by means of a comprehensive national eHealth infrastructure. The infrastructure is continually built out to support the sharing of data in more and more areas. The backbone of the infrastructure is a National Service Platform.The presentation will give an overview of how the work with cross-sectoral digitalization in Denmark is undertaken, both in relation to the principles behind as well as the data being shared.

Staff welfare has a profound impact on emergency services' abilities to meet targets, deliver appropriate levels of care and implement long-term strategies. Poor staff morale and high employee turnover are disruptive, expensive and result in sub-optimal service provision. As such, more organisations are turning to advanced modelling solutions to better balance operational performance and employee well-being. This presentation draws on first-hand experience from the Welsh Ambulance Service NHS Trust (WAST) and details how data-driven modelling software enables the organisation to implement effective changes that prioritise employee welfare, respect operational targets and empower the team to do more with less.

A conversation about what has worked well in our respective Nordic countries.If a neighbouring country wants to use these successes as inspiration, what advice would we get?What is the next step?Are the conditions very county-specific or are we more similar than we think?

Pharmacist Kristofer Klerfalk is a serial entrepreneur and leads the business angel network Life Science Invest. Kristofer will share detailed insights into the most interesting early-stage life science projects in the Nordic region and how AI connects life science and technology. These early stage companies, together with the existing ecosystem, will play a significant role in shaping the future of healthcare. A clear trend is that the boundaries between pharmaceuticals, medical technology, and e-health are gradually fading. Two particularly interesting additions to the matrix are AI and advanced materials, which, when combined, create impressive technological leaps.

An exciting lecture where we delve into the current hype surrounding ChatGPT and large language models. Are they truly the holy grail in healthcare, coming sooner than we think, or are they just another tool in the toolbox? What do we need to be cautious about?

Who winns the Healthtech Award 2024? Welcome to the award ceremony where the winner will be presented! More information to follow

The presentation "Medicine of the future: How and who is going to treat us?" explores the key drivers shaping the future of healthcare, from current trends to long-term factors like climate change and sustainability. Utilizing expert opinions, the study provides insights into the evolution of medicine in the short, medium, and long term, examining the role of well-being technologies, data-informed personalization, and more.

AI has been hailed as one of the instrumental changes that can help healthcare systems tackle current and future challenges. But to what extent can AI help? Milan Shah, NHS transformation specialist, talks you through a study that was conducted on a Swedish primary care health center to assess the impact of AI-enabled triage on labour productivity.

By combining the resources from both health - and social care, there are several benefits in both quality of care and efficiency. Johan will present the experience from the Dutch market, where this is a more common approach than in Sweden.

Successful AI deployment within healthcare relies on the trust and confidence of healthcare professionals.  Based on the findings of the NHS AI lab and Health Education England report on Healthcare workers’ confidence in AI, Dr Painter explores which key factors influence confidence in healthcare AI technologies.

What role can entrepreneurs, intrapreneurs and startups play in the future of healthcare? How can we promote collaboration? Panel discussion och mingle.
Square One Stockholm is a network that connects people who want to transform healthcare through innovation. https://www.linkedin.com/company/square-one-network/

Across Europe the demand for resources in the Health sector is growing faster than the supply, and there is a growing consensus that Digital Therapeutics Apps with their ability to reach a wide part of the population at scale, and in a cost efficient way, is part of the solution.
But development of medical grade apps, that have clinical evidence and satisfy the strictest quality standards is expensive, and vendors need to know how they can be adopted and reimbursed by the healthcare system, before they develop and deploy solutions that can benefit the patients.
SelfBack is an example of one of the few medical grade apps with clinical evidence. SelfBack takes part in the EU harmonisation work of Health Technology Assessments and in this session SelfBack will share their experience from different European countries, and give an overview of how the Swedish/Nordic market access, reimbursement and regulations compares to the rest of Europe from a manufactures point of view.

In the phase of growing pressures to improve both access and affordability of care, the obvious solution is to free up capacity by improving flow to reducing length of stay. Yet, despite significant efforts, hospitals around the world are struggling to achieve breakthrough results. The lecture presents a fresh perspective on how to solve this complex issue of in a simple manner. It tells the story of how hospitals have reached 10-20% reductions in length of stay within a matter of weeks, while being truly patient-centered and clinically led. How do we identify the typically small changes that drastically will improve patient flow through all pathways simultaneously?

Currently, an individual’s opportunities for privacy protection are limited by their digital skills and external factors such as illness, residence, and socio-economic status. Technological development in the field is happening very quickly, but coordination and common platforms are needed to increase accessibility. The HEIDA project have developed software examples using homomorphic encryption for end-to-end privacy protection. The technology enables processing of encrypted data and increase the individual’s opportunities for privacy protection in digital health, which can be of interest to health care decision makers and IT professionals.

We share our experiences and suggestions from translating the ContSys, i.e., ISO 13940:2015 System of Concepts to Support Continuity of Care. All chapters were translated into Estonian and published as a national standard in February 2023.

This study examines the availability of information on welfare technologies or people living with dementia in Sweden. We conducted a scoping review of 21 counties and 290 municipalities to assess the degree of information provided on welfare technologies. 

Delivery of nursing terminology in the digital age is essential to the provision of safe nursing care at a global, national and local level. The provision is fundamental to the delivery of multi-disciplinary care, where nursing information is critical. The requirement is therefore to ensure that clinical terminology in EHR systems is clinically correct, up to date and available for use. The formal collaboration between the International Council of Nurses (ICN) and SNOMED International seeks to deliver these aspirations, with an ongoing commitment to ensure the alignment of ICNP (International Classification of Nursing Practice) and SNOMED CT. The collaboration will provided clinically ensured nursing terminology within EHRs and that the data is available to support nursing research globally.

The healthcare sector often utilizes various methods to track patients' conditions, symptoms, and progress. A critical aspect of this tracking is the identification and documentation of Adverse Drug Reactions (ADRs), which include symptoms like nausea and drowsiness caused by medications. These ADRs, typically categorized by severity and frequency in databases, require medical professionals to meticulously connect them to specific drugs, a process that demands considerable expertise and time. Given the complexity of drug interactions and the limited time available for thorough investigation, this crucial area often remains under-explored. Artificial Intelligence (AI) emerges as a pivotal tool in addressing these challenges, offering decision support to doctors in pinpointing the causes of ADRs and facilitating swift and accurate drug follow-ups. This presentation will delve into a research study from a Master's Thesis project at Karolinska Institutet, exploring AI's potential in identifying rare ADR cases and aiding physicians in efficient medication management.