For an estimation of thermal radiation influence consequences in extreme situations (including forest fires) foreign methods which represent quantitative dependences between thermodynamic and medical criteria of thermal defeat can be applied both domestic. Great volume of numerical-experimental data on thermal burns of various severity level of bio-object is saved up in leading research Centers NASA. Processing experimental research results have served as a basis for creation of standard methods of an estimation of bio-objects defeat. Following methods of forecasting are allocated after carrying out of harmonization of domestic and foreign methods of forecasting of thermal defeat for system thermal source -package of clothes -person: 1) tool; 2) numerical; 3) numerical-experimental. Now there are no the program components realizing developed mathematical models of real thermophysical processes, occurring in integuments and tissues of the person. Present article opens prospects for creation of new generation of medical information systems for needs of the Ministry of Emergency Measures and the first help at minimization and liquidation of a social damage from forest fires. Research objective is numerical research of thermal influence on integuments of a radiant flux from forest fires, taking into account structural heterogeneity of an integument. The new mathematical model of heat transfer in layered structure of an integument with presence in it of heterogeneities type of a hair bulb and hair is developed in present article. Numerical research of heat transfer for the scenario of a fire of low intensity and short-term influence of a radiant thermal flux from a forest fire front is carried out. It is necessary to notice, that for further scenario modeling data on control burns, spent in vicinities of Krasnoyarsk employees of Institute of forest of the Siberian Branch of the Russian Academy of Science can be used. Program components for modeling of heat transfer processes in layered structure of an integument which can be applied by working out of new generation of medical information systems, and also for integration with geoinformation systems of the forecast of forest fire danger on the basis of the deterministic-probabilistic approach are created.