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Enrolling by Invitation

NCT Number: NCT07217366

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

The goal of this study is to see whether this type of Artificial Intelligence (AI) Voice Assistant can reliably capture patient-reported health information to support communication between patients and their healthcare team.

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Key information

Conditions

Heart Failure Cardiovascular Diseases Heart Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Stanford University

Palo Alto, California, 94304, United States

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adults with heart failure receiving cardiology care at Stanford University

Exclusion criteria

  • 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

Treatment and study plan

Artificial intelligence speech-to-text tool

Other

Pilot testing of speech-to-text tool using artificial intelligence

Primary outcomes

  1. Accuracy of AI Voice Assistant Compared With Expert Extraction

    Time frame: ~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.

Secondary outcomes

  1. Usability of AI Voice Assistant

    Time frame: ~3 months

    Measured using the System Usability Scale (SUS), a validated 10-item questionnaire rated on a 5-point Likert scale, with total scores ranging from 0-100

  2. Agreement between AI Voice Assistant Compared With Patient Self-Reported Written Responses

    Time frame: ~3 months

    We will compare agreement the AI Voice Assistant summary to patient-reported responses on the same data elements, including vital signs (heart rate, blood pressure, weight) and 14 symptom and health status questions. The responses will be scored on a numerical scale, ranging from 0-17 points with higher points representing higher agreement of the AI-generated summaries compared to expert-reviewed responses.

  3. Kansas City Cardiomyopathy Questionnaire Scores

    Time frame: ~3 months

    Symptom scores based on the responses to questions obtained from AI Voice Assistant and written responses. The symptom score range from 0 to 100, with higher scores meaning less symptoms.

  4. Qualitative Feedback

    Time frame: ~3 months

    Open-ended questions inquiring about participants' likes, dislikes, and suggestions for improvements

Other outcomes

  1. Time

    Time frame: ~3 months

    Time to complete AI Voice Assistant call and Paper Survey

Sponsors and collaborators

Lead sponsor

Stanford University

Other

Registry information

Official study title

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

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Oct 16, 2025
Registry last updated
Mar 27, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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