Chronic Kidney Disease (CKD) is a complex, clinically dynamic, and progressive condition. Managing it successfully demands close surveillance and monitoring and that clinicians balance CKD’s clinical, medical, and psychological effects while simultaneously avoiding its excess of potential adverse events.
Value-based programs can encourage the formation of comprehensive care management programs for CKD, which can have a significant impact on outcomes and costs.
AI-based models are ideally suited to enable such efforts. Data from EHRs, lab tests, and medical and pharmacy claims can be used in models designed to address CKD’s specific challenges.