Status:
COMPLETED
Machine Learning Assisted Differentiation of Low Acuity Patients at Dispatch
Lead Sponsor:
Uppsala University Hospital
Collaborating Sponsors:
Region Västmanland
Conditions:
Emergencies
Eligibility:
All Genders
18+ years
Phase:
NA
Brief Summary
BACKGROUND: At Emergency Medical Dispatch (EMD) centers, Resource Constrained Situations (RCS) where there are more callers requiring an ambulance than there are available ambulances are common. At t...
Eligibility Criteria
Inclusion
- Identification of a resource constrained situation by ambulance director (i.e., 2 or more patients awaiting an ambulance response)
- Assigned priority 2A or 2B (Low-priority ambulance response) by dispatch nurse call-taker
- Valid Swedish personal identification number collected at dispatch
- Age \>= 18 years
Exclusion
- Relevant calls received more than 30 minutes apart
- Logistical factors (eg. the patients' geographical locations) affect the ambulance assignment decision
- On scene risk factors (eg. a patient is outdoors and risks hypothermia) or risk mitigators (eg. healthcare staff already on-scene with a patient) affect the ambulance assignment decision
Key Trial Info
Start Date :
February 1 2021
Trial Type :
INTERVENTIONAL
Allocation :
ACTUAL
End Date :
November 30 2024
Estimated Enrollment :
2499 Patients enrolled
Trial Details
Trial ID
NCT04757194
Start Date
February 1 2021
End Date
November 30 2024
Last Update
January 8 2025
Active Locations (2)
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1
Västmanland hospital Västerås
Västerås, Västmanland County, Sweden
2
Uppsala University Hospital
Uppsala, Sweden