This article substantiates the choice of fractal cybernetic architecture of regional anti-narcotic strategy based on the principles of the model-oriented systemic engineering. It is established that the tools of both traditional management by objectives and KPI-oriented management have predominantly reactive and fragmented patterns that reduces their efficiency in conditions of high dynamic of narcotics market and interdepartmental dissociation. The methodological basis was composed by the W. R. Ashby's Law of requisite variety and the S. Beer's model of viable system that permitted to interpret the anti-narcotic strategy as adaptive multi-level social medical system. As a result, the executable fractal cybernetic model-based systems engineering architecture was formed that incorporated goal-setting, structural, modeling, digital, and measurement loops and ensured goal traceability, coordination of interdepartmental processes and closing feedback loops. On the basis of materials from the Kabardino-Balkarian Republic, the feasibility of the architecture through the digital platform AURA-FORECAST, integration of interdepartmental data and support of management decisions in the cycle of monitoring and adjustment is demonstrated. The obtained results form the evidence-based basis of transition from reactive anti-narcotic policy to predictive and adaptive model of management in health care.

Model-Based Systems Engineering, AURA-FORECAST, fractal cybernetic architecture, regional anti-narcotics strategy, model-based systems engineering, adaptive management, law of requisite variety, model of viable system, digital transformation of health care, predictive management, AURA-FORECAST.