A master thesis from Aalborg University
AI in Sundhedsjournalen - Prerequisites for implementation
Author(s)
Term
4. term
Education
Publication year
2024
Submitted on
2024-11-19
Pages
73 pages
Abstract
Denne projekt undersøger integrationen af AI-drevne systemer i Sundhedsjournalen, Danmarks elektroniske sundhedsplatform, med det formål at forbedre brugernes forståelse af sundhedsdata. Med en teknologianalytisk tilgang forankret i postfænomenologi identificeres udfordringer som fragmenteret data og kompleks medicinsk terminologi. Studiet fremhæver behovet for tillid, gennemsigtighed og menneskelig kontrol i implementeringen af AI, med fokus på iterative og brugerinddragende udviklingsprocesser. Forudsætninger for AI-integration blev udviklet og positivt modtaget af Styringsgruppen, hvilket understreger deres potentiale til at guide fremtidige forbedringer. Denne forskning bidrager til forståelsen af, hvordan AI ansvarligt kan styrke mediering af sundhedsdata på digitale platforme.
This thesis explores integrating AI-driven systems into Sundhedsjournalen, Denmark’s electronic health record platform, to enhance users’ understanding of healthcare data. Using a techno-anthropological approach grounded in postphenomenology, it identifies challenges such as fragmented data and complex medical terminology. The study highlights the need for trust, transparency, and human oversight in AI implementation, emphasizing iterative, user- informed development. Prerequisites for AI integration were devel- oped and positively received by Styringsgrup- pen, demonstrating their potential for guiding future advancements. This research contributes to understanding how AI can responsibly enhance mediation of healthcare data on digital platforms
Keywords
Documents
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