Cardiac Disease
Conditions
Keywords
Artificial Intelligence, Cardiac Monitoring
Brief summary
This is a non-randomized, un-blinded study to evaluate Caption Health guidance software in patients in the medical surgery step-down unit. Patients will be scanned by a trained hospitalist and up to 4 standard views will be obtained per participant: PLAX, PSAX-PM, AP4 and SubC4. Observations will be made regarding human factors and performance of the device.
Interventions
Sponsors
Study design
Eligibility
Inclusion criteria
. * Patients ≥18 years old * Patients in the medical surgery step-down clinical setting * Patients who consent to participating in the study
Exclusion criteria
. * ● Patients with emergent or urgent episodes of injury and illness that can lead to death or disability without rapid intervention * Unable to lie flat for study * Patients experiencing a known or suspected acute cardiac event at the time of evaluation * Patients with severe chest wall abnormalities * Patients who have undergone pneumonectomy * Patients with recent abdominal surgery * Patients unwilling or unable to give written informed consent * Principal Investigator determination to exclude the subject from participation * Investigators also have the right to withdraw patient from the study in the event of illness, adverse events, or other reasons concerning the health or well-being of the patient, or in the case of non-compliance.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Mean time to acquire images | Up to 3 months | Assess the time to acquire cardiac ultrasound images with and without Caption AI Gudiance |
| Percentage of attempted studies with clinically useful images | Up to 3 Months | Compare the percentage of clinically useful versus not useful images |
Countries
United States