This is a prospective, multicenter, cluster randomised trial which will assess the feasibility and acceptability of AI-assisted point of care echocardiography on HF detection and downstream care processes for patients with suspected HF discharged from the Emergency Department.
Heart failure remains underdiagnosed in frontline care settings, in part due to limited access to timely echocardiography. Recent advances in artificial intelligence (AI)-assisted echocardiography may facilitate scalable bedside screening through automated image acquisition support and interpretation. This is a prospective, multicenter, cluster randomised trial which will assess the feasibility and acceptability of routine implementation of AI-assisted point of care echocardiography on HF detection and downstream processes of care for patients with suspected HF being discharged from the Emergency Department. This study will be carried out at 2 participating Emergency Departments (EDs) in Alberta, Canada. Each ED site will alternate monthly between Intervention (AI-assisted echocardiography) and Control (Usual Care) periods. During intervention periods, patients with suspected HF will undergo AI-assisted echocardiography using a handheld point of care EchoNous Kosmos device by the treating ED physician. The US2.ai algorithm will generate an AI-automated echo report. During control periods, patients will be managed according to usual care.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Enrollment
84
ED physicians at both sites will be provided with 1 session of in person training in the use of the AI-assisted POCUS device within 4 weeks of randomization including, * Device set up * Demo of patient exam with POCUS device (to be used within its CE/Health Canada marked intended purpose or where deemed clinically appropriate by the treating physician). * Generation of AI-automated echocardiogram report for LVEF and diastolic dysfunction.
Feasibility of AI Assisted Point of Care Echocardiography Implementation
Proportion of eligible patients successfully undergoing AI assisted echo assessment at the point of care.
Time frame: During the enrollment period.
Diagnosis of heart failure (HF) within 90 days
Time frame: At 90 days.
Downstream health care resource utilization at 90 days and 1 year (e.g. rates of requests for echocardiography, cardiology referral, primary care appointments, HF hospitalization).
Time frame: At 90 days and 1 year.
Proportion of patients with HF receiving GDMT within 90 days
Time frame: At 90 days.
Difference in ratio of the incidence of diagnoses of HF via hospital admission-based versus community-based pathways
Time frame: At 90 days.
Uptake and utilization: differential rates of uptake and utilization of AI Assisted echocardiography in the emergency department
Time frame: During the enrollment period.
Determinants of uptake and utilization of AI assisted echocardiography in the emergency department (clinician questionnaire)
Time frame: During the enrollment period.
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