Telemedicine
  • 2020 № 2 Legal problems of telemedicine technologies application in the context of fighting the spread of COVID-19 coronavirus

    The purpose of the research is to analyze the legal problems of using telemedicine technologies, taking into account the experience of other countries; to assess the limitations of using telemedicine technologies in preventing the spread of COVID-19 coronavirus; to develop approaches to overcome existing restrictions in this area.
    The authors consider the system of legal relations that arise between various participants in the provision of telemedicine services, focusing on international experience in this field.
    On the example of the Russian Federation, the analysis of legal restrictions for the development of telemedicine technologies, which are typical for other countries, is carried out. A number of common problems of implementing telemedicine technologies are identified, as well as the specifics of legal regulation of telemedicine services in the Russian Federation.
    Measures are proposed to overcome a number of legal restrictions in the use of telemedicine services related to licensing, labor legislation, etc.

    Authors: Kurakova N. G. [3] Kadyrov F. N. [1] Chililov A. M. [1]

    Tags: diagnosis3 informatization2 legal  restrictions1 legislation2 medical care2 regulatory  framework1 telemedicine15

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  • Decision support systems
  • 2020 № 1 Decision support services for the diagnosis and treatment of diseases and their practical application on the example of ckd 5d

    The article clarifies the concept of DSS, shows the trend of development of new services in medicine. The article
    describes the developed DSS‑service for issuing recommendations for the treatment and diagnostic process on the example of
    complications in patients on permanent hemodialysis, in particular, correction of anemia. The information and logical architecture
    of the service, the rating and trigger models used, the underlying knowledge base, and their relationship are described.
    Based on the theory of decision-making, the principle of making recommendations is shown. Examples of integration of the
    service with various information systems and other data sources are given. The analysis of the results of the implementation
    of the DSS service for the correction of anemia in patients with CKD5D in the Nephrology and hemodialysis departments of
    the medical clinical company Nefrosovet in integration with the information and analytical system for managing treatment and
    diagnostic processes Maximus.

    Authors: Novitskiy V. O. [4] Galchenkov A. S. [2] Kondratiev E. A. [1]

    Tags: alternative1 anemia1 correction of ckd5d complications1 decision theory1 diagnosis3 diseases1 dss2 hemodialysis1 integration3 knowledge base3 management3 mis1 production model1 rating2 recommendation1 service1 treatment and diagnostic process2 trigger1 user interface1

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  • Artificial intelligence in health care
  • 2017 № 4 Experience of the Development of the Software Package for Neural Network Diagnosis and Prediction of Diseases of Hepatopancreatoduodenal Zone

    The article presents the experience of the internal development of a software package for diagnosis and forecasting diseases of hepatopancreatoduodenal zone based on the artificial neural network of multilayer perceptron type with hyperbol- ic tangent taken as an activation function. The article includes the characteristics of the analyzed data which is the set of risk factors for the development of peptic ulcer, cholecystitis and pancreatitis and substantiates the necessity for the application of automated control systems acting on the principles of artificial neural networks. The methods of operating of a multilayer per- ceptron are given, and there are proposed modifications intended to optimize the development of the software package and to solve a number of problems that arise during practical implementation of the system and during data preparation. A set of possible input and output parameters of the network, intended for its training, is proposed. The article contains the description of the practically developed user interface, intended to create, configure, train and clinically apply the artificial neural network, as well as to construct its graphs and statistically control its functioning.

    Authors: Lazarenko V. A. [1] Antonov A. E. [1]

    Tags: artificial neural network2 artificial intelligence7 cholecystitis1 diagnosis3 forecasting2 multilayer perceptron1 pancreatitis1 peptic ulcer1

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