Arthritis, Rheumatoid (RA)

The goal of this clinical trial is to learn whether showing patient-reported symptoms and personal treatment goals to rheumatology clinicians on a dashboard in the electronic health record improves shared decision-making for adults with rheumatoid arthritis or psoriatic arthritis. The main questions it aims to answer are: * Do patients whose clinicians use the dashboard report more shared decision-making during their rheumatology visits than patients who receive usual care? * Do patients in the dashboard group report greater progress toward their personal goals and more confidence in managing their symptoms after 6 months? Researchers will compare the dashboard group to a usual care group to see if the dashboard improves shared decision-making, goal attainment, and self-efficacy. Participants will: * Complete a routine symptom questionnaire before their rheumatology visits, as all clinic patients do * Choose personal treatment goals and rate their progress toward those goals 6 months later * Complete short surveys before and after two rheumatology visits about 6 months apart Participants in the dashboard group will also complete questionnaires in the patient portal about pain, fatigue, physical function, sleep, and morning stiffness before each visit. Their answers and goals will be shown to their clinician on a dashboard to guide the conversation during the visit.

This study aims to evaluate the diagnostic accuracy of AI-assisted imaging analysis in differentiating between inflammatory and degenerative joint diseases in elderly patients. The performance of AI-based analysis will be compared with radiologists' assessments to determine its reliability in clinical practice. In addition, the study will explore imaging features most predictive of each disease type using advanced machine learning techniques. Finally, the feasibility of implementing AI tools in the routine management of geriatric musculoskeletal disorders will be assessed.