Healthcare data pose unique challenges and opportunities; they can be longitudinal touchpoints for healthy people and potentially indicative of behavior but require careful handling to ensure accuracy and confidence. STChealth leverages machine learning to identify data patterns that reduce human workload and decision fatigue in “deduplication” (removing duplicates and merging matched records), increasing both accuracy and confidence in immunization registry datasets. Additionally, they developed a machine learning classification algorithm that identifies vaccine sentiment on an individual level by maximizing the same immunization data, helping jurisdictions deliver targeted interventions to increase disease protection in vulnerable communities.