Fitbit Plan for Care Lab: A user informational tool using generative AI models
Baseline Model: Plan for Care baseline model
Study summary
This is an experimental study to observe participants' interactions with the Pre-visit Lab, and the output of various generative AI models that support consumer symptom queries and provide the user with information about possible urgency, potential causes or diagnoses based on the symptoms they disclose, and a summary of information to bring to a health care visit if planned.
Eligibility
Sex
ALL
Min age
18 Years
Max age
—
Healthy volunteers
Accepted
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.
Primary outcome measure(s)
Participant Self-Reported assessment — Day 1 Determine participants' self-reported assessment of the pre-visit experience, such as satisfaction on a likert scale
Trial sites (1)
Facility
City
Region
Status
Google LLC
Mountain View
California
Recruiting
Official registry record
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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