The limited resources of health care system, combined with an aging population and an increase of proportion of diseases of involutional origin leads to the need to optimize the algorithms of diagnosis and treatment of these diseases. BPH is a gender-associated, socially significant disease, as it accounts for over 40% of all diseases of men older than 50 years, and this is the reason of the significant economic contributions in the cost structure of the health system. Analysis of the effectiveness of medical care for BPH in Russia conducted by the example of the Voronezh region, has revealed several shortcomings, the key ones are: low detection rate of the disease and as a result high costs associated with the need of additional treatment in advanced cases. To improve the quality of care for patients with BPH a comprehensive program of staged standardized care was developed.
Materials and Methods: urological assistance was provided in three stages. In the first stage the problem of BPH early detection was resolved. In the second – patients underwent standart treatment procedures, including surgery. 7 interdistrict urological centers representing second stage were deployed. On the basis of the regional clinical hospital №1 regional urological center was organized – the third stage, where specialists delivered treatment in severe clinical cases.
Results: As a result of program activities, there was a reduction of the specific economic costs in terms of each patient at 21.68%. Number of patients admitted for acute urinary retention as complications of BPH significantly reduced. Surgical activity of interdistrict urological centers (based on central district hospitals) increased at 76,11%.
Conclusions: All given facts show high clinical and economic efficiency of comprehensive staged standardized program of care for patients with BPH, based on the principles of early diagnosis and timely treatment.
Effectiveness of health care can be significantly enhanced through the rational use of its resources. One of the tools to achieve this goal is to use the basic principles of corporate management.
Prospects of modernization and innovative development of the Russian health care on the basis of realization of the opportunities given by information society are discussed. The essence and genesis of information-communication medical-industrial space (ICMIS) are studied. The problem of creation of the information-analytical internet portal of the Russian medical-industrial complex (MIC) is formulated. The methodology of creation of an intellectual control system of innovative development of MIC on the basis of the MIC internet portal is stated.
The article analyzes the methods and provides a solution to the problem of detecting logical contradictions in business process models of the health care company. Practical purpose of solving the problem is to increase the efficiency of data management for municipal agencies as stakeholder of company. The methodology is based on formal tools relational logic formalism and the methodology involved is describing business processes by DEMO paradigm. Essentially used the simulator MIT Alloy Analyzer. Analyzed business processes specific organization, provides guidance on the elimination of contradictions.
The number of papers addressing the forecasting of the infectious disease morbidity is rapidly growing due to accumulation of available statistical data. This article surveys the major approaches for the short-term and the long-term morbidity forecasting. Their limitations and the practical application possibilities are pointed out. The paper presents the conventional time series analysis methods — regression and autoregressive models; machine learning-based approaches — Bayesian networks and artificial neural networks; case-based reasoning; filtration-based techniques. The most known mathematical models of infectious diseases are mentioned: classical equation-based models (deterministic and stochastic), modern simulation models (network and agent-based).
In this paper we propose a method of mathematical modeling of the epidemiological situation, taking into account external factors. An algorithm for finding the parameters of the model based on the results of observations, based on the method of least squares. Investigated the dependence of the epidemiological situation of the various parameters and external factors, as well as the ability to manage the development of epidemics by influencing these factors. Proposed the concept of the system of monitoring the epidemic situation, taking into account the external risks.