Heart FailureNCT07217366
Speech-to-text Tool for Heart Failure Patient-Reported Data
A study testing Artificial intelligence speech-to-text tool in people with Heart Failure, run by Stanford University at 1 site in United States.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Heart Failure
- What is being tested?
- Artificial intelligence speech-to-text tool
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 100 participants
- Where
- 1 siteUnited States
- Study dates
- 13 Oct 2025to Jun 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Adults with heart failure receiving cardiology care at Stanford University
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
About this study
Official title: Testing a 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.
- Conditions
- Heart Failure
- Being tested
- Artificial intelligence speech-to-text tool
- Keywords
- Artificial intelligence, Speech-to-text, Patient-reported data, Digital health, Patient self-care
- Medical subject headings
- Heart Failure
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Artificial intelligence speech-to-text toolOther
Pilot testing of speech-to-text tool using artificial intelligence
| Study group | Role | What they receive |
|---|---|---|
| AI Voice Assistant | Experimental | Participants in the AI Voice Assistant arm will complete two activities: (1) an interaction with the AI Voice Assistant tool and (2) Paper survey that includes the same questions asked by AI voice assistant. Half of the participants will use the AI Voice Assistant first, while the other half will begin with the paper survey. Receives: Other: Artificial intelligence speech-to-text tool |
What is being measured
The primary outcome is the main question the study is designed to answer.
Accuracy of AI Voice Assistant Compared With Expert Extraction
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.
Measured: ~3 months
Secondary outcomes (4)
Usability of AI Voice Assistant
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
Measured: ~3 months
Agreement between AI Voice Assistant Compared With Patient Self-Reported Written Responses
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.
Measured: ~3 months
Kansas City Cardiomyopathy Questionnaire Scores
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.
Measured: ~3 months
Qualitative Feedback
Open-ended questions inquiring about participants' likes, dislikes, and suggestions for improvements
Measured: ~3 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted16 Oct 2025
- Study start13 Oct 2025
- Primary completionMay 2026 (estimated)
- Study completionJun 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Heart FailureStudies of the same condition, open and under way.
- More trials run by Stanford UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Diagnosis
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 100 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Stanford University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Fatima Rodriguez, Stanford University
- Investigators
- Alexander Sandhu, MD, MS, Principal investigator, Stanford University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07217366
- Sponsor's protocol ID
- 79867
- Status last verified
- Mar 2026
- First submitted
- 13 Oct 2025
- Last updated
- 27 Mar 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: Investigators can provide documents including the study protocol, study analysis plan, and informed consent form of the study to researchers who request the information
Study at a glance
From the registry record, last updated by the sponsor on 27 Mar 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Testing a Speech-to-text Tool for Heart Failure Patient-Reported Data
- ClinicalTrials.gov ID
- NCT07217366
- Acronym / sponsor ID
- 79867
- Conditions
- Heart Failure
- Keywords
- Artificial intelligence, Speech-to-text, Patient-reported data, Digital health, Patient self-care
- Study type
- Interventional
- Recruitment status
- Enrolling by invitation
- Enrolment
- 100 participants (estimated)
- Lead sponsor
- Stanford UniversityUniversity, hospital or other
- Study start
- 13 Oct 2025 (actual)
- Primary completion
- May 2026 (estimated)
- Study completion
- Jun 2026 (estimated)
- First posted
- 16 Oct 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| AI Voice Assistant | Experimental | Other: Artificial intelligence speech-to-text toolParticipants in the AI Voice Assistant arm will complete two activities: (1) an interaction with the AI Voice Assistant tool and (2) Paper survey that includes the same questions asked by AI voice assistant. Half of the participants will use the AI Voice Assistant first, while the other half will begin with the paper survey. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- Adults with heart failure receiving cardiology care at Stanford University
Key exclusion criteria (4 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Artificial intelligence speech-to-text toolPilot testing of speech-to-text tool using artificial intelligence | Other | AI Voice Assistant |
Primary outcome
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.
4 secondary outcomes
Usability of AI Voice Assistant
Time frame: ~3 months
Agreement between AI Voice Assistant Compared With Patient Self-Reported Written Responses
Time frame: ~3 months
Kansas City Cardiomyopathy Questionnaire Scores
Time frame: ~3 months
Qualitative Feedback
Time frame: ~3 months
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 27 Mar 2026.
- Individual participant dataSharing planned: Yes. Investigators can provide documents including the study protocol, study analysis plan, and informed consent form of the study to researchers who request the information
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Alexander Sandhu, MD, MS principal investigator
Stanford University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Artificial intelligence speech-to-text tool in people with Heart Failure, run by Stanford University at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: enrolling by invitation, as of the sponsor's last update on 27 Mar 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Accuracy of AI Voice Assistant Compared With Expert Extraction (time frame: ~3 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 27 Mar 2026.