Generative AI pre-visit care tool for Fitbit users
Official title: Generative AI Pre-visit Lab Study
Run by Fitbit LLC · NCT07552311 · Data updated 2026-11-12
This test tries generative AI that helps adult Fitbit users understand symptoms and prepare information to bring to a health visit.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 40000 (estimated) |
| Sponsor | Fitbit LLC Industry-sponsored |
| Locations | 1 site (Mountain View, California) |
| Status | Recruiting |
| Started | November 21, 2025 |
| Main results expected | November 30, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | April 27, 2026 |
| Trial ID | NCT07552311 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a 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.
✕Probably 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.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
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.
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 gone: 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.
Who can join: the full rules
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 it's running
-
Google LLC
Mountain View, California, United States Recruiting
Study contacts
- Study coordinator: Bhavna Daryani, BDS
- Email: bhavnad@google.com
- Phone: 2018859852
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.