Improving echocardiogram report accuracy with algorithms
IMPlementazione di algoRitmi di Assistenza Alla diagnOsi in un Software di Refertazione Computerizzato Che Valuta Anche l'Accuratezza Dell'Esame ECOcardiografico
This study is testing if using automated tools can make echocardiogram reports more accurate for patients who need heart scans.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 3500 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Istituto Auxologico Italiano Academic / other |
| Locations | 1 site (Milan) |
| Trial ID | NCT05778500 on ClinicalTrials.gov |
What this trial studies
This observational study focuses on enhancing the accuracy of echocardiographic reports by integrating automated diagnostic algorithms. It aims to align these reports with current international guidelines and minimize diagnostic errors in patients who have undergone clinically indicated echocardiography. The study will evaluate whether these algorithms can significantly improve the overall accuracy of the echocardiographic assessments.
Who should consider this trial
Good fit: Ideal candidates are patients who have undergone a clinically indicated echocardiographic study.
Not a fit: Patients who do not consent to the use of their clinical data for research purposes will not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to more accurate echocardiographic diagnoses, improving patient outcomes.
How similar studies have performed: While the use of automated algorithms in echocardiography is a growing field, this specific approach is novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Having undergone a clinically-indicated echocardiographic study Exclusion Criteria: * Denial of the consensus to use individual clinical data for research purposes
Where this trial is running
Milan
- Istituto Auxologico Italiano IRCCS — Milan, Italy (Recruiting)
Study contacts
- Study coordinator: Luigi Badano, MD, Ph.D.
- Email: l.badano@auxologico.it
- Phone: +390261911
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.