The overall objective of the project is to determine if and how innovative digital decision-making tools based on artificial intelligence (AI) can help to develop more accessible, efficient, cost-effective, and sustainable municipal healthcare services. More specifically, the project aims are:~to explore different outcomes of a municipal rapid response car manned with dedicated physicians~to compare outcomes from Norwegian and Swedish out-of-hospital EMS in acute illness~to explore how decision-making tools based on AI can be used to optimize dispatch~to explore how decision-making tools based on AI can assist dispatched personnel and in prehospital care~to determine the quality and efficacy of the different systems explored through cost-analyses and exploration of stakeholders' experiences with the decision-making tools
Through introducing physicians in front in the medical assessment and decision-making processes in acute and sub-acute illness in the municipalities, as well as including machine learning in analyzing prospective and retrospective data, the project will develop and implement innovative and knowledge-based digital diagnostic tools and decision-making support systems to be used in the municipalities. As such, the project will contribute to early identification of severe illness, prevent deterioration of disease, and facilitate early medical intervention.