[Algorithmic support of the estimation of expenditures of medical services during dental treatment].
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Algorithms↗
Biomedical subjects
L Ia Bukharbaeva
Publications and source records attributed to L Ia Bukharbaeva.
[Experience in using systems for automating endoscopic diagnosis].
The specific features of processes of current methods for instrumental diagnosis, which are used at therapeutical-and-prophylactic institutions are considered. Main problems in automation of endoscopic diagnosis and the current methods of their solution are discussed. Tasks required to put an automatic diagnostic system into practice are defined. The results of use of one of the developed variants of the system that has particular features of its implementation are presented. Sources of the efficiency of such systems are shown.
Automation↗
[Systems analysis and modeling of organizational management processes of the regional public health system].
Scanty budgetary resources generate a need for optimally distributing the funds among different lines of expenditure in order to achieve the greatest possible social impact by taking into account the interests of different parties. A cognitive map and mathematical optimization models are proposed to control budgetary funds for financing the public health system.
Budgets↗
[An information system for the analysis of economic indices of the activity of a medical institution].
An information technology for analyzing the economic parameters of a medical institution is suggested in the article within the framework of the information system already functioning in the Republican foundation of compulsory medical insurance (Bashkortostan). The analysis of financing the therapeutic-and-prophylactic facilities is based on the graphic-and-analytic method and on extensive real statistics.
Academic Medical Centers↗
[A systemic dynamic modeling for prognosis of the quantity of the cancer patients in various clinical categories and for the assessment of the needs in resources].
The prognostication of a number of oncology patients and an evaluation of the resources' needs for the oncology service are in the focus of attention. A systemic dynamic model, based on a differential equations' system, is suggested to cope with the changing status of oncology patients. There is an example of using the model to forecast the number of patients with breast cancer for further calculation of resources needed by the palliative care service to render assistance to such patients and to evaluate the influence of preventive measures produced on the needs in resources by the mentioned service.
Breast Neoplasms↗
[Automated management of physical load in health prophylaxis].
Described in the paper is a research case of the core of an automated support system for the decision-making in assigning a physical-load schedule that would take account of each specific patient and provide the practitioner with the related comprehensive data in diagnosis and therapy.
Decision Making, Computer-Assisted↗