This study demonstrates the feasibility of applying a data linkage framework to evaluate coagulation abnormalities and transfusion practices in patients with chronic liver disease (CLD) presenting to emergency departments (EDs). Coagulation and transfusion data are typically fragmented across hospitals and information systems, limiting comprehensive analysis at a statewide or national level. This study addresses that gap by integrating multiple datasets and outlining the linkage challenges encountered in applied haematology. Using statewide data, we showed that conventional coagulation profiles and viscoelastic haemostatic assays (ROTEM and TEG) can be linked to transfusion events, including at defined intervals from ED arrival—within 4 h, within 24 h, and in relation to massive transfusion thresholds. This approach enables temporal alignment of laboratory results with transfusion timing, supporting real-world evaluation of clinical decision-making during early haemostatic resuscitation. It includes mapping test timing, ED presentation and blood component use across all hospitals, addressing the longstanding fragmentation of transfusion and coagulation records. The resulting dataset provides a foundation for further analyses examining associations between coagulation parameters and transfusion decisions. The methodology offers a scalable informatics model for haemovigilance, with broader applicability to statewide or national transfusion-focused initiatives, including audit, research and surveillance programs.