Objective: Pandemic preparedness and health-system resilience are increasingly treated as complementary approaches to health emergency management. However, the mechanism connecting preparedness arrangements with operational capabilities, system performance under disruption and subsequent learning remain insufficiently specified. This study develops a transparent conceptual framework synthesis to translate heterogeneous international preparedness architectures into functionally comparable capabilities and proposes an analytical model for empirical testing. Methods: Five international preparedness architectures were purposively selected: the WHO Health Emergency Preparedness, Response and Resilience (HEPR) architecture and Preparedness and Resilience for Emerging Threats (PRET) framework; the International Health Regulations (IHR) Monitoring and Evaluation Framework; the United States Public Health Emergency Preparedness and Response Capability Standards; the European Health Emergency and Preparedness Authority (HERA) architecture; and Singapore’s Pandemic Preparedness and Response Framework, introduced in 2025. The synthesis was organised into seven steps: construct identification, functional coding, semantic consolidation, distinctiveness testing, relational analysis, contextualisation, and traceability and counterexample testing. Kazakhstan was used for preliminary contextual mapping rather than performance evaluation. Results: The synthesis produced six analytically distinguishable but interdependent capabilities: (1) collaborative surveillance and situational intelligence; (2) interoperable information infrastructure; (3) scalable health-service delivery and medical-countermeasure access; (4) emergency coordination and adaptive governance; (5) community protection, risk communication and engagement; and (6) institutional learning and capability renewal. The six-component configuration separates the immediate social interface of emergency response from the organisational processes through which experience modifies future preparedness. Interoperability is conceptualised as a coordination-enabling mechanism, not as a synonym for digitalisation or data quality. The available Kazakhstan evidence illustrates preparedness self-assessment and epidemiological resource modelling but does not establish operational capability or resilience. Formal sensitivity analysis of the taxonomy and independent coding reliability have not been established. Conclusion: The principal contribution is a structured approach to conceptual integration that distinguishes preparedness arrangements, capabilities, performance under disruption and institutional learning. The framework generates testable propositions concerning information integration, coordination, surge capacity, community response and organisational change. Its conceptual boundaries and robustness require further validation through a documented source level audit trail, alternative-corpus analysis and empirical studies.