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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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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Artificial intelligence speech-to-text tool | Other | Pilot testing of speech-to-text tool using artificial intelligence |
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| Measure | Description | Time Frame |
|---|---|---|
| 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. | ~3 months |
| Measure | Description | Time Frame |
|---|---|---|
| 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 | ~3 months |
| Agreement between AI Voice Assistant Compared With Patient Self-Reported Written Responses |
| Measure | Description | Time Frame |
|---|---|---|
| Time | Time to complete AI Voice Assistant call and Paper Survey | ~3 months |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Alexander Sandhu, MD, MS | Stanford University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Stanford University | Palo Alto | California | 94304 | United States |
Investigators can provide documents including the study protocol, study analysis plan, and informed consent form of the study to researchers who request the information
December 2025-December 2026
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| ID | Term |
|---|---|
| D006333 | Heart Failure |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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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 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. | ~3 months |
| Qualitative Feedback | Open-ended questions inquiring about participants' likes, dislikes, and suggestions for improvements | ~3 months |