MODEL OF THE STOCHASTIC AUTOMATIC MACHINE FOR SYNTHESIS OF RULE SYSTEM SPACE OF CONDITIONS
The management of a medical organization is a complex and many aspects task most directly related to ensuring the quality of medical care. The study of the management processes of the modern hospital is devoted to a large number of works of Russian scientists, which, as a rule, are based on the application of approaches of structural modeling and subsequent assessment of economic parameters of the activity of the medical organization. Structural models describe inter-process relationships quite well, but do not consider their characteristics: time of occurrence, time of action, strength of communication, state of inter-process communication objects. Meanwhile, knowledge of these characteristics can be very useful, and sometimes even necessary, for forecasting and planning the activities of the organization. The patient is the initiator of the medical care process. During the treatment stages, the patient «loads» the participants of this process and changes his condition. At the same time, traditionally, the doctor in the preparation of the forecast of treatment of the disease relies on his experience and proceeds from the existing statistics. In research aspect the analysis of all state space in which there can be a patient is of the considerable interest. This knowledge will allow to consider possible development of a disease, to calculate probabilistic characteristics of conditions of process, to be prepared for the choice of medical technology of treatment. Besides, the imitating form of this model can be used for oscillation of a flow of patients with the given parameters: the diagnosis, a stage, severity of a disease that, in turn, can be used for assessment of opportunities of the medical organization. Thus, model operation of the state space of the patient can be considered as a relevant scientific and practical task. As basic approach for the solution of this task the composion of methods of model operation on the basis of the P-scheme (the probabilistic automatic machine) and a logical conclusion on the basis of the system of production is used.