Decision support systems
  • 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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  • Information technologies in education
  • 2020 № 2 Personnel education for digital healthcare and professional standards analysis

    Most important task of healthcare is medical service continuous improving through implementation of new technologies. Modern technologies development is largely based on big biological data analysis. Ability to fully utilize modern technologies requires as new level of training for medical personnel, so reconsidering of professional standards with paying more attention to scientific and technical development.
    Materials  and  methods: Physicians going through professional skills improvement process were questioned, professional standards, legislation for medical services and education were investigated.
    Results:   conclusions made on physicians readiness for work at digital healthcare system and on concordance of existing pro
    fessional standards to healthcare development trends.
    Conclus ion: scientific and technical aspects of physicians education have to be enforced, education time for physicians working at high-tech healthcare segment should be increased, research activity should be included into professional standards for some specialties.
    Modern healthcare develops towards neuronet based big data analysis digital technologies implementation. Healthcare becomes more technologized and scientifically capacious. Information volume increase requires more teaching of skills for obtained within personalized digital medicine development data mining and interpreting; professional standards widening for personnel providing medical service at this field.

    Authors: Melerzanov A. V. [4] Almazov A. A. [3] O. Yu. Alexandrova [2] Trunin A. O. [1] Rimskaya B. A. [1]

    Tags: digital  personalized  medicine1 medical education3 professional  standards1

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  • Medical information systems
  • 2020 № 2 Evaluation of innovations for healthcare

    Actuality :  evaluation system for healthsaving technologies innovation level development is defined by need of  innovative  healthcare development strategy implementation and insufficient definition of innovative healthcare technologies criteria. Implementation  of  new  healthcare  technologies  into  systemic  healthsaving  requires  managerial  decision  making  support  for innovations integration.
    Goal:  healthsaving technologies innovation level multicriteria evaluation scientific approval and development.
    Materials   and   methods: program  includes  systemic  and  content  analysis,  expert  evaluation,  analytical  and  statistical methods.  Working  with  Public  Health  experts  focus  group  three  steps  algorithm  was  used.  Excel  based  data  processing  was performed with indicative indicators and indicative space calculation.
    Results: healthsaving technologies innovative level multicriteria analysis method was designed. Method novelty consists of first time  introduced  for  healthcare  innovative  level  criteria,  expert  card  and  evaluation  algorithm.  Healthsaving  technologies  final evaluation indicative indicators and space were calculated as a base for managerial decision choice support for their integration.
    Conclusion  presented evaluation scale allows medical technologies ranging according to needs of solutions for certain tasks.

    Authors: Vasilieva T. P. [2] Melerzanov A. V. [4] Almazov A. A. [3] Vasiliev M. D. [1] O. Yu. Alexandrova [2]

    Tags: healthsaving  technology1 innovative  level1 multicriteria  evaluation  method1 public health4

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