Sessions

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. 

Equity for Sámi Patients Too: Unraveling Paradoxes within a Universal Healthcare System
Fluidity, Relationality and Personhood in African Understanding of Health and Wellbeing

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.