Regional informatizatian projects
  • 2017 № 3 Online method medical-economic control of prescriptions for preferential drug provision

    There is a high probability of making mistakes (intentional and unintentional) while filling the electronic form of the recipe for preferential drug provision, that may lead to violations in the prescription of drugs. Expert detection of prescription form filling errors after the drugs had been released to the patient in pharmacy can’t prevent the negative impact on patient’s health. The purpose of the study is to improve the effectiveness of organizing and performing the medical control of drugs prescribing, to simplify procedures for providing citizens with preferential medicines, applying the developed methods and algorithms for real-time verification of the selected recipes. The paper represents the method and the development of decision making support algorithm to be used while performing the medical expertise, also called medical -economic control. The opportunities of unified information system for prescribing and releasing of preferential recipes in the Krasnodar Region are observed in the paper in the frame of implementation of the “electronic prescription” technology and medical expertise of preferential drugs prescribing in real time. The prospects of medical expertise performing for detecting cases of polypharmacy in advance are established in cases of multiple drugs prescription (more than five). The importance of performing medical expertise was defined for all kinds of prescription, not only for preferential drugs, consequently the suggested method and developed algorithm should be applied to medical expertise of all kinds of electronic prescription in real-time

    Authors: Koshkarov A. A. [8] Semenov. A. B. [2] Penner D. V. [2] Khalaphyan A. A. [1]

    Tags: decision support system3 medical and economic control1 preferential medicinal maintenance1

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  • Decision support systems
  • 2020 № 1 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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  • 2020 № 2 Multimodal data analysis, “Human” and “Machine” approaches difference, social problematics of biomedical data collection and turnover

    Artificial intelligence technologies based physicians decision support systems is an important step of healthcare digital transformation. Despite of neuronet algorithms implementation into analytical systems benefits there are questions that have to be solved for digital healthcare successful launch. In addition to knowledge expert level for systems development and privacy warranties work with professional medical society and general public is essential for psychological and social barriers overcoming during transmission to digital economics.

    Authors: Melerzanov A. V. [4] Almazov A. A. [3] Rumyzntsev P. O. [1] Kupreev P. P. [1] Murashko M. M. [1] Rodin S. A. [1]

    Tags: artificial  intelligence  digital transformation1 biomedical  data  turnover1 decision support system3 health  economics1

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