NCT07217366
Speech-to-text Tool for Heart Failure Patient-Reported Data
Enrolling by Invitation
NAAges 18+InterventionalDiagnosticStanford UniversityInvestigator-initiated
~100 participants
Updated 2026-03-27 on ClinicalTrials.gov
What's tested:Artificial intelligence speech-to-text tool
At a glance
Recruiting sites
0 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Accuracy of AI Voice Assistant Compared With Expert Extraction
Measured over ~3 months
Conditions
Where it's being run
1 sites across 1 statesCalifornia1
Study leadership
- Alexander Sandhu, MD, MS · PRINCIPAL_INVESTIGATOR · Stanford University
Who to contact
This trial hasn't published a contact. View it on ClinicalTrials.gov
Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Eligibility criteria
Inclusion
Adults with heart failure receiving cardiology care at Stanford University
Exclusion
Diminished decision-making capacity
Inability to understand and communicate in English sufficiently to complete study procedures
Inability to complete study procedures to the best of the participant's and investigator's knowledge
Any disorder or condition that, in the opinion of the investigator would pose a risk to participant safety or interfere with the study evaluation, procedures or completion
What this trial measures
- Accuracy of AI Voice Assistant Compared With Expert Extraction~3 months
Agreement between AI-generated summaries and expert-reviewed responses (study staff extraction of participants' responses from audio recordings). The responses will be scored on a numerical scale, ranging from 0-17 points with higher points representing greater accuracy of the AI-generated summaries compared to expert-reviewed responses.