Integrated Precision Framework for Managing Inflammatory–Metabolic Multimorbidity in Contemporary Internal Medicine

Complex multimorbidity has become a defining feature of contemporary internal medicine, particularly within inflammatory–metabolic intersections such as dermatologic and endocrine disorders. As chronic conditions cluster in structured cardiometabolic networks, traditional disease-specific guideline approaches increasingly generate therapeutic conflict, polypharmacy, and reduced predictive accuracy in high-complexity patients. This study developed and evaluated an integrated precision decision-making framework designed to reconcile inflammatory burden, endocrine dysregulation, cardiovascular risk stratification, medication safety, and patient-centered prioritization within a unified clinical model. Multidimensional analysis demonstrated coherent cardiometabolic clustering with measurable inflammatory–metabolic overlap. As multimorbidity complexity increased, medication burden, adverse drug event risk, and guideline conflict rose progressively under traditional management approaches, while predictive discrimination declined. In contrast, the integrated precision framework showed lower conflict indices and improved predictive performance across escalating strata of complexity. Outcome prioritization analysis revealed a structured distribution balancing cardiovascular stabilization, metabolic control, inflammatory skin management, polypharmacy reduction, and quality-of-life considerations. These findings support the transition from fragmented, disease-centered optimization toward an integrated, value-based, and precision-guided model of internal medicine capable of addressing the biological and therapeutic interdependence characteristic of complex chronic disease networks.