The paper considers the model of monitoring conducted to detect structural shifts in socio-economic processes, arising under the influence of events in the external environment. The proposed procedure includes monitoring of the macro- and business environment in which the observed process develops; monitoring of time series describing the dynamics of the observed processes; supervisor for analysing signals from two monitoring systems, adjusting their parameters and forming the final output signal. The practical significance of the proposed procedure consists in increasing the efficiency of structural shift detection algorithms by obtaining additional information by them, and, accordingly, in enhancing the capabilities of expert-analysts and forecasters in solving the target problems of analysis and forecasting in situations of uncertainty and instability based on the processing of heterogeneous information.