Assessing Psoriasis Treatment Outcomes

Psoriasis is a chronic disease that can negatively impact quality of life. However, adherence to topical treatment for psoriasis can be abysmal. Nonadherence can result in multiple negative effects, including treatment failure, increased healthcare costs, and decreased quality of life. Office visits can drive compliance behavior. By using "white coat compliance," providers increase adherence in the short period before and after a doctor appointment. However, frequent visits may not be feasible for time-constrained healthcare providers. Artificial intelligence (AI) has alleviated provider burden in other settings and may be applied in promoting medication adherence through AI-generated automated physician provider (AIGPP) visits. Given limited funding, this pilot study will assess the feasibility of AIGPP interactions with psoriasis patients treated with betamethasone dipropionate cream (BD). To accomplish this, up to 15 subjects, age 18 years of age and older, with psoriasis will be recruited to participate. Subjects who meet inclusion criteria will complete a demographic questionnaire and will be randomized to one of three arms (1. AI intervention group - patients will receive BD and have a weekly virtual visit with an AIGPP, 2. human intervention group - patients will receive BD and receive weekly video calls from study staff, 3. standard of care group - patients will receive BD and scheduled for a single follow up visit in 4 weeks). The subjects will receive the BD with a Sensal MyAide adherence device attached.