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
1 other identifier
observational
1,000
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2022
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2022
CompletedFirst Submitted
Initial submission to the registry
January 23, 2023
CompletedFirst Posted
Study publicly available on registry
February 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2025
CompletedAugust 8, 2025
August 1, 2025
2.3 years
January 23, 2023
August 4, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
At location
Patients treated at location
2 hours
Secondary Outcomes (1)
Transported
2 hours
Other Outcomes (1)
Institutionalized
12 hours
Study Arms (1)
Acutely ill persons in the municipality
Patients recieving services from a rapid response vehicle manned with dedicated physicians from the municipality
Interventions
All patients receiving services from the physician manned rapid response car will be included
Eligibility Criteria
All patients recieving services from the physician manned rapid response car will be included.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Ostfold University Collegelead
- Oslo University Hospitalcollaborator
- Ostfold Hospital Trustcollaborator
- OsloMetcollaborator
Study Sites (1)
Fredrikstad Casualty
Fredrikstad, Akershus, 1671, Norway
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Randi M Sommerfelt, PhD
Østfold University College
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 23, 2023
First Posted
February 1, 2023
Study Start
October 1, 2022
Primary Completion
January 1, 2025
Study Completion
January 1, 2025
Last Updated
August 8, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, CSR
- Time Frame
- After all publication
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.