The goal of this interview is to gather a clinician's perspective on the feasibility and potential integration of a new Geriatric Functional Assessment System (GFAS) into their clinical practice. This proposed system is a clinic-based wearable device designed to collect visual and motion data from older adults during their primary care visits that will help assess physical function. Its goal is to collect and process data, apply machine learning, and enable clinicians to identify early signs of functional decline.
This study aims to collect information from the perspective of clinicians on the feasibility and potential integration of a new Geriatric Functional Assessment System (GFAS) into their clinical practice. We are hoping to recruit clinicians willing to spend a one-time 20 minute remote session with us at the University of North Carolina Chapel Hill at a convenient time for them. We will ask participants to participate in an audio recorded interview session.
Requirements for healthy volunteers are different than for those with a specific condition. If you are interested in becoming a healthy volunteer for this study, use the below categories to determine if you are able to participate.
100% Remote (online, phone, text)
John Batsis
Med-Geriatric Medicine
Behavioral or Social
Observational
Chronic Conditions
Injury/Injury Prevention
Opinions and Perceptions
UNC or UNC Health employees
25-0632
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