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NCT07217366

Speech-to-text Tool for Heart Failure Patient-Reported Data

Enrolling by Invitation
NAAges 18+InterventionalDiagnostic
Stanford University
~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

Heart Failure

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Heart Failure

NCT07217366

Where you'd take part

This study runs at 1 site. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.

  • Stanford University

    Palo Alto, Californiano site contact published

Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.

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

Want this trial checked against your situation?

Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.

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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.