Informatization of health care
  • 2018 № 3 The national segment of the international object identifier tree. OID Registry of the Ministry of Health

    Describes the structure and organization of the international object identifier tree, which includes national OID space segment and of the Ministry of health of Russia. The history and problems of formation of OID Registry of the Ministry of health at an early stage, as well as solutions and current state. The basic aspects of building an arc OID «Actors of the health care system», taking into account the importance for the solution of problems of assessing the level of informatization and formation of Federal registers, as well as taking into account the legislative features of the structure of the health system

    Authors: Starodubov V. I. [40] Sidorov K. V. [2] Zarubina T. V. [3]

    Tags: federal  register  medical  organizations1 register  an  oid1 the integral  evaluation  of  the  level  of  informatization1 the  international  object  identifier  tree1 unified  public  health  information  system1

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  • Informatization of healthcare
  • 2023 № 6 Methodology for developing medical expert systems using graph databases and ontological approach.

    Expert systems are a complex software system that accumulates the knowledge of specialists in specific subject areas and disseminates this empirical experience for consultations with less qualified users, which reduces the number of medical errors caused, in particular, by a lack of specialist doctors in local areas and the time required for a single consultation.
    P u r p o s e of the study is to present a modern methodology for developing expert systems based on knowledge engineering using an ontological approach and graph databases.
    M a t e r i a l s a n d m e t h o d s . System analysis methods were applied during the creation of the methodology for developing expert systems, including analytical and descriptive methods, knowledge engineering methods such as structuring methods, knowledge representation, and fuzzy logic. The methodology assumes the use of a graph database as a storage for the knowledge base.
    R e s u l t s . The methodology describes the process of developing expert systems based on a graph database using an ontological approach. It includes the following components: a knowledge base, an intelligent editor of the knowledge base, a problem solver, and explanation subsystem. The methodology assumes the participation of a group of experts in the development of the expert system, with whom the development of two artifacts is carried out: a terminological database of the subject area and intermediate information objects describing the logic of solving the problem. Both artifacts should be formed automatically using the intelligent solver of the knowledge base, as well as filling the knowledge base, which will facilitate the subsequent maintenance of the knowledge base and keep it up-todate.
    According to the methodology, the solver and explanation subsystem work with a graph database, which is a means of storing the knowledge base, in order to find the optimal path in which nodes are used to solve the problem of the expert system, for example, supporting a specialist doctor in establishing a preliminary/final diagnosis, and the path is used by the explanation subsystem to argue the proposed solution of the expert system.
    F i n d i n g s . A methodology for creating expert systems using a graph database and an ontological approach has been developed and presented. The methodology describes the development of two components: a knowledge base and a combined component consisting of a solver and an explanation subsystem.

    Authors: Zarubina T. V. [3] Osmolovsky I. S. [1]

    Tags: cdss1 expert system1 intelligent knowledge base editor1 knowledge base1 ontology1

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  • It management
  • 2017 № 8 Assessment principles of informatization level of medical organization

    The article is about assessment principles of informatization level of the regional segment of The Unified State Health System. This approach is based on an assessment of informatization level of the healthcare organizations. Scale building is based on the calculation of indicators, combined into functional segments, which form an integral evaluation for the medical organization. In 2016, the developed scale in the questionnaire form was presented to experts of regional Medical Information and Analytical Centers of eight Russian constituent entities, the experts took a favourable view of 90% indicators. There was implemented a test survey of medical organizations of three pilot regions

    Authors: Starodubov V. I. [40] Sidorov K. V. [2] Zarubina T. V. [3] Shvyrev S. L. [1] Koroleva Y. I. [1] Rauzina S. E. [1]

    Tags: e-health3 efficiency of informatization1 medical information system7 result-oriented approach1

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