Systematic welfare record keeping is foundational to effective livestock welfare management, enabling trend detection, treatment evaluation, and farm assurance audit. Key welfare records include mortality data (death rates, causes), disease treatment records (diagnoses, treatments, outcomes), lameness scoring results, body condition scores, and enrichment provision records. National livestock welfare databases (e.g., AgriMIS in UK, USDA NASS in US) aggregate farm-level data for population-level surveillance. Farm assurance schemes (Red Tractor, RSPCA Assured, GlobalG.A.P.) mandate welfare record maintenance as audit prerequisites. Research demonstrates that farms with systematic welfare monitoring identify problems earlier and achieve better welfare outcomes than farms relying on observation alone. Electronic identification systems (EID, RFID tags) enable automated individual animal tracking linked to health and performance records. Artificial intelligence analysis of welfare records identifies risk patterns and triggers preventive interventions.