About this trial
The AIDE-CP1 trial will test whether a decision support tool based on artificial intelligence (AI) can improve care for patients who come to an emergency department with chest pain. The AI tool uses the patient's age, sex, first blood tests and ECG to estimate the risk of a heart attack within 30 days and suggests what to do next. About 4,500 patients at five Swedish emergency departments will be included. The study will examine whether the AI tool can shorten time spent in the emergency department while maintaining patient safety. It will also study healthcare use, costs, and how AI affects doctors' decisions.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Non-traumatic chest pain, presentation to the ED.
Disqualifiers
Patient declining participation.
Trial design
Parallel
Treatments tested in this trial
AIDE-CP available
Other interventionOn randomized days, AIDE-CP is available to the ED physicians
Treatment groups
Trial outcomes
Primary outcomes
EDLOS
Emergency department (ED) length of stay (LOS) in minutes in patients discharged home from the ED
Secondary outcomes
30-day AMI and MACE in discharged patients
30-day (including index visit) acute myocardial infarction (AMI) and major adverse cardiac events (MACE) incidence in discharged patients.
30-day ED revisits with admissions
ED revisits within 30 days with admissions to inpatient care
Accuracy of AIDE-CP AMI prediction in all patients
Accuracy of AIDE-CP's 30-day AMI predictions (sensitivity, specificity, etc) in all patients; i.e. including patients where AIDE-CP is unavailable at the ED.
Time to disposition in in all patients
Time from ED arrival to decision regarding hospital admission or discharge home from the ED, in all patients
Locations
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Region Skane
Lead sponsor
Lund University
Collaborator
This trial is not recruiting at the moment. You can still explore other options: