Multiple Chronic ConditionsNCT05708768
Digital, Innovative, Sustainable, and Knowledge-based Acute Municipal Healthcare Services Illness and Trauma
An observational study of Multiple Chronic Conditions and Acute Disease, run by Ostfold University College at 1 site in Norway.
Trial 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… Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Multiple Chronic Conditions, Acute Disease
- What is being tested?
- Receiving physician manned rapid response car services
- How many people
- 1,000 participants
- Where
- 1 siteNorway
- Study dates
- 1 Oct 2022to 1 Jan 2025
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Study population: All patients recieving services from the physician manned rapid response car will be included.
Who may be able to join
None listed.
Who cannot join
- -
Trial locations and contacts
1 site in 1 country.
About this study
Official title: 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.
Read the 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
- Conditions
- Multiple Chronic Conditions, Acute Disease
- Being tested
- Receiving physician manned rapid response car services
- Medical subject headings
- Multiple Chronic Conditions, Acute Disease
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Receiving physician manned rapid response car servicesOther
All patients receiving services from the physician manned rapid response car will be included
| Study group | Role | What they receive |
|---|---|---|
| Acutely ill persons in the municipality | Patients recieving services from a rapid response vehicle manned with dedicated physicians from the municipality Receives: Other: Receiving physician manned rapid response car services |
What is being measured
The primary outcome is the main question the study is designed to answer.
At location
Patients treated at location
Measured: 2 hours
Secondary outcomes (1)
Transported
Patients being transported for further diagnostics
Measured: 2 hours
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted1 Feb 2023
- Study start1 Oct 2022
- Primary completion1 Jan 2025
- Study completion1 Jan 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Multiple Chronic ConditionsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case only
- Time perspective
- Prospective
- Enrolment
- 1,000 participants (actual)
Sponsor and investigators
- Lead sponsor
- Ostfold University College
- Sponsor type
- University, hospital or other
- Collaborators
- Oslo University Hospital, Ostfold Hospital Trust, OsloMet
- Responsible party
- Sponsor
- Investigators
- Randi M Sommerfelt, PhD, Study chair, Østfold University College
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05708768
- Sponsor's protocol ID
- 971 567 376
- Status last verified
- Aug 2025
- First submitted
- 23 Jan 2023
- Last updated
- 8 Aug 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- 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.
Study at a glance
From the registry record, last updated by the sponsor on 8 Aug 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Developing and Implementing Digital, Innovative, Sustainable, and Knowledge-based Municipal Healthcare Services in Acute Illness and Trauma
- ClinicalTrials.gov ID
- NCT05708768
- Acronym / sponsor ID
- 971 567 376
- Conditions
- Multiple Chronic Conditions, Acute Disease
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 1,000 participants (actual)
- Lead sponsor
- Ostfold University CollegeUniversity, hospital or other
- Collaborators
- Oslo University Hospital, Ostfold Hospital Trust, OsloMet
- Study start
- 1 Oct 2022 (actual)
- Primary completion
- 1 Jan 2025 (actual)
- Study completion
- 1 Jan 2025 (actual)
- First posted
- 1 Feb 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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 design
- Observational model
- Case only
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Acutely ill persons in the municipality | – | Other: Receiving physician manned rapid response car servicesPatients recieving services from a rapid response vehicle manned with dedicated physicians from the municipality |
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
- Study population
- All patients recieving services from the physician manned rapid response car will be included.
Key inclusion criteria (0 listed)
Key exclusion criteria (1 listed)
- -
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Receiving physician manned rapid response car servicesAll patients receiving services from the physician manned rapid response car will be included | Other | Acutely ill persons in the municipality |
Primary outcome
At location
Time frame: 2 hours
Patients treated at location
1 secondary outcome
Transported
Time frame: 2 hours
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 8 Aug 2025.
- Individual participant dataSharing planned: 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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Randi M Sommerfelt, PhD study chair
Østfold University College
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Multiple Chronic Conditions and Acute Disease, run by Ostfold University College at 1 site in Norway.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 0 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 8 Aug 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Norway. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
At location (time frame: 2 hours). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 8 Aug 2025.