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

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

Study Overview

• Status: Completed
• Conditions: Acute Disease; Multiple Chronic Conditions
• Intervention / Treatment: Other: Receiving physician manned rapid response car services

Detailed 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

• Study Type: Observational
• Enrollment (Actual): 1000

Contacts and Locations

Study Locations

• Norway
  • Viken
    • Fredrikstad, Viken, Norway, 1671
      • Fredrikstad Casualty

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Child; Adult; Older Adult
• Accepts Healthy Volunteers: No

• Sampling Method: Non-Probability Sample

Study Population

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

Description

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

Exclusion Criteria:none

-

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
Acutely ill persons in the municipality; Patients recieving services from a rapid response vehicle manned with dedicated physicians from the municipality	Other: Receiving physician manned rapid response car services; All patients receiving services from the physician manned rapid response car will be included

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
At location	Patients treated at location	2 hours

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Transported	Patients being transported for further diagnostics	2 hours

Other Outcome Measures

Outcome Measure	Measure Description	Time Frame
Institutionalized	Patients being institutionalized	12 hours

Collaborators and Investigators

• Sponsor: Ostfold University College
• Collaborators: Oslo University Hospital; Ostfold Hospital Trust; OsloMet
• Investigators: Study Chair: Randi M Sommerfelt, PhD, Østfold University College

Study record dates

Study Major Dates

• Study Start (Actual): October 1, 2022
• Primary Completion (Actual): January 1, 2025
• Study Completion (Actual): January 1, 2025

Study Registration Dates

• First Submitted: January 23, 2023
• First Submitted That Met QC Criteria: January 23, 2023
• First Posted (Actual): February 1, 2023

Study Record Updates

• Last Update Posted (Actual): August 8, 2025
• Last Update Submitted That Met QC Criteria: August 4, 2025
• Last Verified: August 1, 2025

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Pathologic Processes; Disease Attributes; Multiple Chronic Conditions; Acute Disease; Chronic Disease
• Other Study ID Numbers: 971 567 376

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: YES
• IPD Plan Description: The goal is to publish anonymized datasets. ØUC is an institutional member of the DataverseNO community in Norway, and the DataverseNO-based repository ØUC Open Research Data, which is a generic repository of high quality, is suitable for this endeavor. A part of the data generated by this research project consists of qualitative interviews. In case these data cannot be anonymized, open publication of data will be refrained and rather opt for making metadata available. Datasets and metadata will be published in connection with open access publication of research articles.
• IPD Sharing Time Frame: After all publication
• IPD Sharing Supporting Information Type: STUDY_PROTOCOL; CSR

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No
• product manufactured in and exported from the U.S.: No