Primary Health Care
Conditions
Brief 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.
Interventions
A user informational tool using generative AI models
Plan for Care baseline model
Sponsors
Study design
Eligibility
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Participant Self-Reported assessment | Day 1 | Determine participants' self-reported assessment of the pre-visit experience, such as satisfaction on a likert scale |
Countries
United States