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Completed

NCT Number: NCT05708768

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

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.

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Key information

Conditions

Multiple Chronic Conditions Acute Disease Chronic Disease Disease Attributes Pathologic Processes Pathological Conditions, Signs and Symptoms

Sex eligibility

All sexes

Study type

Observational

Primary location

Fredrikstad Casualty

Fredrikstad, Akershus, 1671, Norway

About this study

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

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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

Exclusion criteria

none

-

Treatment and study plan

Receiving physician manned rapid response car services

Other

All patients receiving services from the physician manned rapid response car will be included

Primary outcomes

  1. At location

    Time frame: 2 hours

    Patients treated at location

Secondary outcomes

  1. Transported

    Time frame: 2 hours

    Patients being transported for further diagnostics

Other outcomes

  1. Institutionalized

    Time frame: 12 hours

    Patients being institutionalized

Sponsors and collaborators

Lead sponsor

Ostfold University College

Other

Collaborators

  • Oslo University Hospital
  • OsloMet
  • Ostfold Hospital Trust

Registry information

Official study title

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

Important dates

Study start
2022
Primary completion
2025
Study completion
2025
First posted
Feb 1, 2023
Registry last updated
Aug 8, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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