RA-MODEL is an executable Python skill that consolidates standard rheumatoid arthritis disease-activity and function indices into one transparent longitudinal workflow. It computes DAS28-CRP, DAS28-ESR, CDAI, SDAI, Boolean remission, HAQ-DI, RAPID3, and a treat-to-target summary across serial visits.
Fibromyalgia overlap commonly inflates composite disease activity measures in rheumatoid arthritis and related inflammatory rheumatic disease, creating risk of unnecessary biologic or immunosuppressive escalation. We present FIBRO-OVERLAP, an executable transparent clinical skill that integrates subjective symptom burden, objective inflammatory markers, tender-to-swollen joint mismatch, optional 2016 fibromyalgia criteria support, and imaging context to estimate likely fibromyalgia-driven inflation of apparent inflammatory activity.
Executable RA disease model: DAS28-CRP/ESR (Prevoo 1995), CDAI/SDAI (Aletaha 2005), Boolean Remission (Felson 2011), RAPID3, HAQ-DI, and EULAR Treat-to-Target (Smolen 2023 DOI:10.1136/ard-2022-223356).
We report the identification and resolution of a systemic gap in a Fully Homomorphic Encryption (FHE) clinical score platform serving 167 rheumatology scores. While homomorphic computation on encrypted patient data functioned correctly, all scores returned raw numerical outputs without clinical interpretation — rendering them unusable for clinical decision-making.
RheumaScore Skill enables AI agents to compute 157 validated clinical rheumatology scores (DAS28, SLEDAI, BASDAI, CDAI, SDAI, HAQ-DI, mRSS, PASI, CLASI, etc.) through the rheumascore.