PhD project: The project aims to investigate if a new health technology solution can improve diabetes care for patients with schizophrenia and type 2 diabetes.
Kunstig intelligens (AI) har potentialet til at kunne øge både effektiviteten og kvaliteten indenfor billeddiagnostik. Projektet vil udvikle og afprøve et AI-værktøj til diagnostik af brystkræft for at sikre tidligere og mere præcis diagnostik, som kan føre til hurtigere igangsættelse af behandling
The purpose of this thesis is to study methods for early HTA of innovative technologies and explore the value of behavioural data in the assessment of the usability of e-health solutions.
ADLIFE aims to demonstrate that it is possible to create personal treatment procedures that provide more suited care to patients with advanced chronic illnesses.
The project wants to make sure that data files about patients' use of the app My Hospital are automatically converted into diagrams and tables, so the clinical wards can use them as a basis for improving the app.
Digital Vision represents a new approach to digital hospital transformation where IT systems and innovative solutions are implemented collectedly in one department.
The aim of the project is to enable drones to provide faster transport of medical equipment, biological tests and in the long term health staff compared to the currently available transportation options.
Patients with diabetes are at risk of developing several complications in relation to their disease, including diabetic kidney disorder, which is seen among as many as 40 % of all patients with diabetes.
