An observational study in Multiple Chronic Conditions and Acute Disease, sponsored by Ostfold University College. Completed at 1 site in Norway. Per ClinicalTrials.gov, last updated 2025-08-08.
Sponsored by Ostfold University College · Observational
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.
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:
89 studies on the registry are indexed under Multiple Chronic Conditions; 16 are open to participants now.
This study's enrollment of 1,000 is above the median of 160 across 16 observational studies indexed under Multiple Chronic Conditions.
Browse Multiple Chronic Conditions studies →Ostfold University College is the lead sponsor of 15 studies on the registry; 3 are open to participants now.
Counted across the registry records on this site, refreshed daily.
All patients recieving services from the physician manned rapid response car will be included.
Inclusion Criteria:all patients receiving services from the physician manned rapid response car -
Exclusion Criteria:none
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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
At location
Patients treated at location
Time frame: 2 hours
Transported
Patients being transported for further diagnostics
Time frame: 2 hours
Institutionalized
Patients being institutionalized
Time frame: 12 hours
Plan to share: Yes — 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.
Supporting information: Study protocol, Clinical study report
Time frame: After all publication
No publications or documents are linked to this record.
This study is completed, as verified in Aug 2025. You cannot join it, but the record below documents what was studied.
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Ostfold University College