This conceptual preprint examines the growing gap between how disease is increasingly understood in systems biology—as a dynamic, timing-dependent process—and how healthcare decision models evaluate and implement therapies using stability-based assumptions. Without proposing policy reform, the paper identifies a methodological misalignment that limits the detection, interpretation, and valuation of therapeutic effects when disease behavior is intrinsically non-linear and phase-dependent. The analysis is informed by a systems-dynamic perspective, using the Universal Resonance Model as an analytical lens.
Anita Domargård (Wed,) studied this question.