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

Ostfold University College

Status: Completed

Conditions: Acute Disease; Multiple Chronic Conditions

Treatments: Other: Receiving physician manned rapid response car services

Study type: Observational

Funder types: Other

Identifiers

NCT05708768

971 567 376

Details and patient eligibility

About

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.

Full 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

Enrollment: 1,000 patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion and exclusion criteria

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

Exclusion Criteria:none

Trial design

1,000 participants in 1 patient group

Acutely ill persons in the municipality

Description:

Patients recieving services from a rapid response vehicle manned with dedicated physicians from the municipality

Treatment:

Other: Receiving physician manned rapid response car services