Information technologies for the Physician 2020 #1

Published: 2020-03-16

151

CONTENT OF THE ISSUE

    Medical information systems
  • Clinical Research Data Management: Experience of the N. N. Burdenko NMRC of Neurosurgery

    Data management is a key process in modern clinical researches, which aims to ensure the unambiguity, completeness,
    security, and reliability of the collection and storage of information. Since 2017, in the Federal State Autonomous Institution
    Scientific Research Center of Neurosurgery named after ac. N. N. Burdenko of the Ministry of Health of Russia (NMRC of Neurosurgery) the clinical data management process was modified and a special management information system was introduced
    into the routine research practice.
    This article opens a series of articles on clinical research management at the NMRC of Neurosurgery.
    This work was supported by RFBR grant № 16-29-12880.

    Authors: Danilov G. V. [1] Shifrin M. A. [1] Strunina J. V. [1] Pronkina T. E. [1] Ishankulov T. A. [1] Burov A. A. [1] Dorofeyuk J. A. [1] Potapov A. A. [1]

    Tags: clinical investigation1 data management2 neurosurgery1 redcap1

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  • Web-portal for monitoring patients after allogeneic hematopoietic stem cells transplantation

    Prolonged monitoring of the patients health is the important issue in the treatment of patients after allogeneic hematopoietic
    stem cell transplantation (allo-HSCT) and is extremely important for the transplant team. The basis of this awareness is the
    aggregation, systematization and analysis of data about what happens to the patient outside the hospital, namely those parameters
    that are clinically important for physicians. The basis of the future system of patients’ monitoring is a self-monitoring portal for
    patients after allo-HSCT. These arrangements will reduce the time of patients’ survey on the following examination and potentially
    lead to an increase in overall survival due to timely hospitalization, which in turn will increase the effectiveness of medical care.

    Authors: Drokov M. Y. [1] Ibragimova I. T. [1] Batryakova S. V. [1] Dmitrova A. A. [1] Vasileva V. A. [1] Kuzmina L. A. [1] Guzevatykh A. P. [1] Parovichnikova E. N. [1]

    Tags: allogeneic hematopoietic stem cell transplantation1 patients’ monitoring1 self-monitoring portal1 web-portal1

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  • Artificial intelligence in health care
  • Modern methods of analysis and forecasting of time series and use in medicine

    The article is a review of Russian and foreign scientific publications related to the use of methods of analysis and
    forecasting of time series in medicine. 112 major publications over the past 5 years, located on the Internet resources e-library
    and PubMed, are considered. Examples of the application of such methods as exponential smoothing, regression analysis,
    the ARIMA method and their variants for time series analysis are shown. Various approaches to mathematical modeling of
    the time series are presented. The results of the article can be used to select a method of analysis and forecasting time series
    depending on the tasks.

    Authors: Zakharov. S. D. [4] Egorov D. B. [2] Egorova A. O. [1]

    Tags: analysis and forecasting of the time series1 arima2 exponential smoothing1 regression analysis2 time series2

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  • Decision support systems
  • Life cycle of decision support systems as medical technologies

    Decision support systems (DSS) in medicine can be classified into reference and intellectual, and the latter, in turn, into
    modeling and imitating human reasoning. Modeling systems are based on formalized expert knowledge, and imitating ones are
    based on models built by various multidimensional data analysis methods. DSS should be considered as medical technologies,
    therefore, after their development, assessing of analytical (technical) and clinical validity should follow, regardless of current
    national regulatory documents. Clinical validation have to be based on principles of evidence based medicine and demonstrate
    superiority, non-inferiority or equivalence to routine practice. Then a clinical and economic analysis can be carried out in order
    to justify the economic feasibility of DSS, and later health technology assessment can be performed.

    Authors: O. Yu. Rebrova [2]

    Tags: analytical validation1 clinical economic analysis1 clinical validation1 decision support system3 life cycle1 medicine7

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  • Automation of the activities of the multidisciplinary rehabilitation team through the ICF WIZARD software package

    The article discusses the possibilities of forming a rehabilitation diagnosis using the categories of the directory codes
    of the International Classification of Functioning, Disability and Health (ICF) using the ICF WIZARD information system. The possibilities of using the ICF WIZARD information system and its scope are also considered.

    Authors: Ivanilova T. N. [2] Semenov V. A. [1] Vasilenko I. V. [1]

    Tags: automated medical scales1 electronic simulator1 icf2 information system4 rehabilitation diagnosis1

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  • 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 diagnosis4 diseases1 dss3 hemodialysis2 integration3 knowledge base4 management3 mis1 production model1 rating2 recommendation1 service1 treatment and diagnostic process2 trigger1 user interface1

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  • Telemedicine
  • The quality of primary direct-to-consumer telemedicine consultations (by results of testing telemedicine services)

    The adoption of a number of special regulatory documents has significantly expanded the possibilities of using
    telemedicine technologies in the Russian Federation. A significant number of services have appeared on the market, offering
    direct-to-consumer and patient initiated telemedicine consultations. The explosive growth in the number of such services requires
    a careful study of the telemedicine interaction quality. The research objective is to assess the quality of remote interaction of
    participants in primary telemedicine consultations with simulated patients. For testing, we used descriptions of simulated patients
    basing on real records of patients from the therapeutic department of the municipal clinical hospital. For objectification and
    analysis of the telemedicine interaction process (collection of complaints, questioning, recommendations, etc.) a checklist has been compiled. Initially, the study included such services as “Yandex. Health”, “MMT (OnlineDoctor)”, “TelemedHelp”, “Doctor at work”,
    “DoctorSmart”, “DocDoc”; then, for technical reasons, 2 services were excluded from the study. Two simulated patients were sent
    to 4 services; as results, 8 primary teleconsultations were made. In all cases, incorrect, incomplete collection of anamnesis data
    was recorded. Target diagnosis (in the form of diagnostic concept) was achieved in 25% of cases, and target prescriptions were
    made in 50% of cases. A personal consultation and additional examinations were recommended in 75% of teleconsultations.
    There was no continuity, drugs were somehow prescribed in 62.5% of cases. As results, an urgent development of methods of
    internal and departmental quality control of medical care provided with the use of telemedicine technologies is required.

    Authors: Morozov S. P. [6] Vladzymyrskyy A. V. [6] Simenyura S. S. [2]

    Tags: patient3 quality control1 safety2 telemedicine17 telemedicine technologies3

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  • Mathematical methods of forecasting
  • Methods of Modelling and Prediction of Surgery Duration

    Based on the analysis of foreign publications, a comparative characteristic of methods and models of prediction
    of surgical operations duration was carried out. The importance of estimating the accuracy of prediction the duration of
    operations for effective planning of the use of operating rooms and high-tech equipment is shown. Analyzed statistical and
    regression methods to predict the duration of operations, and the use of artificial neural networks to estimate the duration
    of an operation. Mathematical expressions are given, allowing to estimate duration of operation as a whole, as well as data
    on prediction errors.

    Authors: Chernega V. S. [3] Eremenko A. N. [3]

    Tags: accuracy of prediction1 neural networks9 planning of use of operating rooms and high-tech equipment1 regression analysis2 statistical models1 surgery1 surgery duration1

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Articles
8

Authors
31

Pages
80

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