Publication: Intelligent Information System for Telemedicine
dc.contributor.author | Kondakov, A. | |
dc.contributor.author | Kulik, S. | |
dc.contributor.author | Кулик, Сергей Дмитриевич | |
dc.date.accessioned | 2024-11-26T13:23:36Z | |
dc.date.available | 2024-11-26T13:23:36Z | |
dc.date.issued | 2020 | |
dc.description.abstract | © 2020 The Authors. Published by Elsevier B.V.The problem of telemedicine systems was very important and relevant in Russian Federation for many years. Communications and technologies in most regions allow to introduce such systems, but it became possible only in 2018 when federal law (No. 242-FZ On amendments to certain legislative acts of the Russian Federation to clarify the procedure of personal data processing in information and telecommunication networks [1]) about telemedicine came into effect. Since this moment many IT companies begin developing remote systems for healthcare. There are many different types of telemedicine systems and services, but all of them have the same concept. It is fast and easy way to consult patient, make diagnosis and prescribe treatment. It especially important for patients who live far enough from hospitals, people with disabilities or for people who live in regions where hospitals have no modern and quality equipment. Also some regions have problems with qualified personnel. This article presents a new intelligent information system for the treatment of psoriasis. This system was developed for Russian clinic which has a big experience in psoriasis treatment and now it became possible to make a big network of clinics that can located in different parts of the country (also in most remote) and still have all the benefits of central clinic. | |
dc.format.extent | С. 240-243 | |
dc.identifier.citation | Kondakov, A. Intelligent Information System for Telemedicine / Kondakov, A., Kulik, S. // Procedia Computer Science. - 2020. - 169. - P. 240-243. - 10.1016/j.procs.2020.02.142 | |
dc.identifier.doi | 10.1016/j.procs.2020.02.142 | |
dc.identifier.uri | https://www.doi.org/10.1016/j.procs.2020.02.142 | |
dc.identifier.uri | https://www.scopus.com/record/display.uri?eid=2-s2.0-85084454695&origin=resultslist | |
dc.identifier.uri | https://openrepository.mephi.ru/handle/123456789/21766 | |
dc.relation.ispartof | Procedia Computer Science | |
dc.title | Intelligent Information System for Telemedicine | |
dc.type | Conference Paper | |
dspace.entity.type | Publication | |
oaire.citation.volume | 169 | |
relation.isAuthorOfPublication | 7ce44b2d-ec0b-42b1-beca-1477fbb1b638 | |
relation.isAuthorOfPublication.latestForDiscovery | 7ce44b2d-ec0b-42b1-beca-1477fbb1b638 | |
relation.isOrgUnitOfPublication | 010157d0-1f75-46b2-ab5b-712e3424b4f5 | |
relation.isOrgUnitOfPublication.latestForDiscovery | 010157d0-1f75-46b2-ab5b-712e3424b4f5 |
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