Dynamic Medicine — Part I Why Data Is Not Enough: From Interoperability to System Dynamics

This paper constitutes Part I of the Dynamic Medicine series and introduces a conceptual framework for understanding disease as a dynamic system rather than a static condition. It argues that recent advances in interoperability and data integration, while necessary, are insufficient to transform clinical medicine without an accompanying framework for interpreting system behavior over time. The paper outlines the limitations of static biomarkers and diagnosis-based models, and introduces the need for a dynamic perspective focused on stability, resilience, and temporal change. Grounded in the Universal Resonance Model (URM), this work proposes that disease progression is best understood as a process of system-level instability and phase transition, with important implications for clinical reasoning, therapeutic timing, and future drug development. This text is conceptual in nature and intended to establish a foundation for subsequent empirical, clinical, and methodological work within the Dynamic Medicine framework.