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

Not Applicable

Not yet recruiting

• Conditions: Heart Failure

• Registration Number: NCT07217366
• Lead Sponsor: Stanford University

Brief Summary

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.

Detailed Description

Not available

Study Timeline

• Status Verified: 2025-10
• Study Start: 2025-10-01
• Study First Submitted: 2025-10-13
• Study First Submitted QC: 2025-10-13
• Last Update Submitted: 2025-10-13
• Study First Posted: 2025-10-16
• Last Update Posted: 2025-10-16
• Primary Completion: 2026-02
• Study Completion: 2026-05-01

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 50

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

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Primary Outcome Measures

Name	Time	Method
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.

Secondary Outcome Measures

Name	Time	Method
Usability of AI Voice Assistant	~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
Agreement between AI Voice Assistant Compared With Patient Self-Reported Written Responses	~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.
Symptom Scores	~3 months	Symptom scores based on the responses to questions obtained from AI Voice Assistant and written responses
Qualitative Feedback	~3 months	Open-ended questions inquiring about participants' likes, dislikes, and suggestions for improvements

Trial Locations

Locations (1)

Stanford University; 🇺🇸 Palo Alto, California, United States