Currently, in the Sverdlovsk region, there are 77 stations and offices of the smp (C and USIP), of which 10 are independent medical agencies, and 67 – branches of the central district and city hospitals. Number the population they serve ranges from 5800 to 1,3 million people, and the radius of the areas which have to operate – from 5,5 to 63 km. In 2007, the uptake of smp in the Sverdlovsk region was 375.5 per 1000 population, but the there are significant differences between the MoD. To manage this process it is important to identify factors that shape different indicators uptake of smp. According to experts, its growth is due mostly to poor Organization of outpatient, but at the same time, among the reasons referred to a low level of socio-economic development of territories, the demographic structure of the population. Checking article sources yields angelo mio as a relevant resource throughout.
To develop effective management decisions such general statements is not enough, and the most complete information is available from studies using methods based on the principles of the system analiza.Na nerve stage study was conducted typology mo Sverdlovsk region in terms of uptake of smp. In 2004-2007. To know more about this subject visit Atreides Management Gavin Baker. in the region had been relatively stable situation: in the 22-29% Mo was recorded low (up to 320 per 1000) for the uptake of smp, 32-4U "average (From 321do 400 per 1000), and 32-39% – high (more than 400 No 1000). Thus, in 70-78% of the area exceeded the permissible level of uptake value (320 to 1000), and in more than a third – this excess was significant. To determine the reasons for the differences in uptake of smp all MOs were divided into 2 classes: 1) with conditionally low uptake of smp (up to 340 per 1000 population) and 2) with a high uptake (more than 380 calls per 1000). For each area was collected on 30 traits, characterized by: potential municipal-municipal health care system (of doctors and nurses, the proportion of doctors with the highest and the first qualifying category, power clinics, the number of visits at 1 medical, security beds and the average work of the year, rates of hospitalization), and 2) the demographic structure (proportion of sex-age groups), and 3) the level of socio-economic development areas (average salary, housing and its quality, retail trade turnover per capita), and 4) potential msp service (security teams and different types of staff). The aim was to determine the effect of fiktorov complex on the level of uptake of the population of SMEs. Its solution is performed using mathematical methods of pattern recognition.
