Machine Learning Assisted Differentiation of Low Acuity Patients at Dispatch
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Emergencies
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentIntervention Model Description: Groups of patients experiencing a resource constrained situation randomized 1:1 at time of inclusion to control/intervention armsMasking: Single (Investigator)Masking Description: Analyst masked to treatment group allocation in final analysis. Outcomes extracted algorithmically from databases.Primary Purpose: Health Services Research
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
Not Provided
Not Provided
Tracking Information
- NCT #
- NCT04757194
- Collaborators
- Region Västmanland
- Investigators
- Principal Investigator: Hans Blomberg, MD, PhD Uppsala University Hospital