Unchecked inflammation underlies complex immune-mediated conditions, including arthritis, resulting in significant morbidity and high costs. This project aims to overcome the barriers to integrate precision health data and accelerate its translation and application into practice in the context of inflammatory arthritis. Precision Health requires standardized data collection and integration including clinical, environmental, biologic, and administrative data to make treatment decisions for individual patients. The team will build the foundation for a ‘tool-kit’ to collect, integrate and analyze precision health information to facilitate optimal treatment decisions for patients with rheumatoid arthritis  and juvenile idiopathic arthritis. Ultimately, they hope to identify clinical phenotypes to predict disease onset and transitions, then stratify patients into disease endotypes to customize therapies. Translation of this knowledge into practice will enable accurate diagnosis, rapid initiation of targeted therapies leading to effective and cost-effective care.