Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)

Digitalization in Healthcare and Telecommunication Support Systems in Medicine

Authors
I.I. Kukhtevich, V.V. Goryunova, T.I. Goryunova, P.S. Zhilyaev
Corresponding Author
I.I. Kukhtevich
Available Online 1 August 2020.
DOI
10.2991/aebmr.k.200730.067How to use a DOI?
Keywords
digital technology, healthcare, telemedicine, tele-neurology, knowledge representation, decision making
Abstract

Digital transformation and information integration provide operational management of information and communication processes in many industries. The use of digital and telemedicine technologies in healthcare is particularly important. The article presents the directions of development of telecommunication projects in medicine and considers the main tools and applications for creating an automated medical history in a digital environment. The methods of intellectual support of complex test solutions for the electronic medical history in the field of teleneurology are described. The methods of knowledge representation in telemedicine systems using rule-templates are considered. It is noted that the rule base can accelerate the comparison of patient data and the development of diagnostic hypotheses, providing data search and their distribution into separate groups in accordance with the context of a particular medical problem. The authors note that the stage of conceptual analysis or structuring of knowledge is traditionally (along with the extraction stage) a “bottleneck” in the life cycle of developing intelligent decision support systems. The development of intellectual support systems for integrated test solutions in the field of neurology belongs to this class of complex systems, since they have the main signs of complexity (hierarchy of concepts, intra-element and inter-element communication, etc.). The complexity of designing such systems is determined mainly by the complexity of subject areas, as well as the complexity of describing the behavior of individual subsystems.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
1 August 2020
ISBN
10.2991/aebmr.k.200730.067
ISSN
2352-5428
DOI
10.2991/aebmr.k.200730.067How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - I.I. Kukhtevich
AU  - V.V. Goryunova
AU  - T.I. Goryunova
AU  - P.S. Zhilyaev
PY  - 2020
DA  - 2020/08/01
TI  - Digitalization in Healthcare and Telecommunication Support Systems in Medicine
BT  - Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)
PB  - Atlantis Press
SP  - 364
EP  - 369
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200730.067
DO  - 10.2991/aebmr.k.200730.067
ID  - Kukhtevich2020
ER  -