Digital, Innovative, Sustainable, and Knowledge-based Acute Municipal Healthcare Services Illness and Trauma

Last updated: August 4, 2025
Sponsor: Ostfold University College
Overall Status: Completed

Phase

N/A

Condition

N/A

Treatment

Receiving physician manned rapid response car services

Clinical Study ID

NCT05708768
971 567 376
  • All Genders

Study Summary

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.

Eligibility Criteria

Inclusion

Inclusion Criteria:all patients receiving services from the physician manned rapid response car -

Exclusion

Exclusion Criteria:none

Study Design

Total Participants: 1000
Treatment Group(s): 1
Primary Treatment: Receiving physician manned rapid response car services
Phase:
Study Start date:
October 01, 2022
Estimated Completion Date:
January 01, 2025

Study Description

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

Connect with a study center

  • Fredrikstad Casualty

    Fredrikstad, Viken 1671
    Norway

    Site Not Available

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