Generative AI pre-visit care tool for Fitbit users
Generative AI Pre-visit Lab Study
NA · Fitbit LLC · NCT07552311
This test tries generative AI that helps adult Fitbit users understand symptoms and prepare information to bring to a health visit.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 40000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Fitbit LLC (industry) |
| Locations | 1 site (Mountain View, California) |
| Trial ID | NCT07552311 on ClinicalTrials.gov |
What this trial studies
This interventional project observes how adults using Fitbit on Android interact with a Pre-visit Lab that returns outputs from generative AI models in response to symptom queries. Participants will use the Fitbit Plan for Care Lab and a baseline model while researchers collect interaction data and the AI-generated content about potential urgency, possible causes or diagnoses, and a visit summary. The study is limited to U.S. residents who can consent in English and excludes participants with chief complaints related to mental health, sexually transmitted infections, or pregnancy. Outcomes emphasize usability and the content produced rather than clinical effectiveness or diagnosis confirmation.
Who should consider this trial
Good fit: Ideal candidates are adults (age of majority), living in the United States, who use Fitbit on an Android smartphone with a personal Google account and can read and consent in English.
Not a fit: People with chief complaints related to mental health, sexually transmitted infections, or pregnancy, as well as non-Android Fitbit users, minors, non-U.S. residents, or those using corporate Google accounts are unlikely to benefit from participation.
Why it matters
Potential benefit: If successful, the tool could help people recognize when a symptom needs prompt care, suggest possible causes, and make clinical visits more focused and productive.
How similar studies have performed: Previous digital symptom-checkers and triage tools have shown mixed accuracy, and applying generative AI to pre-visit summaries is a relatively new approach with limited published validation.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Age of majority: are of legal adult age (18 or older in most US states; 19 or older in Nebraska \& Alabama, or 21 or older in Mississippi) 2. Resides in the United States 3. Fitbit mobile user using their Google accounts on an Android smartphone 4. Able to read, write and willing to consent in English Exclusion Criteria: 1. Enrollment using a corporate google.com account 2. Have a condition or circumstance that the investigator determines as inappropriate for participation. 3. Have a chief complaint or symptoms that are potentially related to mental health disorders, sexually transmitted diseases or infections, or pregnancy.
Where this trial is running
Mountain View, California
- Google LLC — Mountain View, California, United States (RECRUITING)
Study contacts
- Study coordinator: Bhavna Daryani, BDS
- Email: bhavnad@google.com
- Phone: 2018859852
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Primary Health Care