Digital, Innovative, Sustainable, and Knowledge-based Acute Municipal Healthcare Services Illness and Trauma
Study Details
Study Description
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.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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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:
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to explore different outcomes of a municipal rapid response car manned with dedicated physicians
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to compare outcomes from Norwegian and Swedish out-of-hospital EMS in acute illness
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to explore how decision-making tools based on AI can be used to optimize dispatch
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to explore how decision-making tools based on AI can assist dispatched personnel and in prehospital care
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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
Arms and Interventions
| Arm | 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
|
Outcome Measures
Primary Outcome Measures
- At location [2 hours]
Patients treated at location
Secondary Outcome Measures
- Transported [2 hours]
Patients being transported for further diagnostics
Other Outcome Measures
- Institutionalized [12 hours]
Patients being institutionalized
Eligibility Criteria
Criteria
Inclusion Criteria:all patients receiving services from the physician manned rapid response car -
Exclusion Criteria:none
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Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Fredrikstad Casualty | Fredrikstad | Viken | Norway | 1671 |
Sponsors and Collaborators
- Ostfold University College
- Oslo University Hospital
- Ostfold Hospital Trust
- OsloMet
Investigators
- Study Chair: Randi M Sommerfelt, PhD, Østfold University College
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 971 567 376