Technology of Supporting Medical Decision-Making Using Evidence-Based Medicine and Artificial Intelligence

Georgy Lebedev; Eduard Fartushnyi; Igor Fartushnyi; Igor Shaderkin; Herman Klimenko; Pavel Kozhin; Konstantin Koshechkin; Ilya Ryabkov; Vadim Tarasov; Evgeniy Morozov; Irina Fomina

doi:10.1016/j.procs.2020.09.195

Technology of Supporting Medical Decision-Making Using Evidence-Based Medicine and Artificial Intelligence

Procedia Comput Sci. 2020:176:1703-1712. doi: 10.1016/j.procs.2020.09.195. Epub 2020 Oct 2.

Authors

Georgy Lebedev^{1

2

3}, Eduard Fartushnyi¹, Igor Fartushnyi¹, Igor Shaderkin^{1

2}, Herman Klimenko¹, Pavel Kozhin¹, Konstantin Koshechkin¹, Ilya Ryabkov^{1

2}, Vadim Tarasov¹, Evgeniy Morozov¹, Irina Fomina²

Affiliations

¹ I.M. Sechenov First Moscow State Medical University, 2-4 Bolshaya Pirogovskaya st., Moscow, 119991, Russia.
² Federal Research Institute for Health Organization and Informatics, 11, Dobrolubova street, Moscow, 127254, Russia.
³ V.I.Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology. 4 Oparin st., 117997 Moscow, Russia.

Abstract

Currently, Medical errors are a serious problem when examining patients. Creating information systems that use the capabilities of evidence-based medicine and artificial intelligence methods will allow the doctor to make an informed and proven decision. In this article, the authors offer a description of an information system that solves the problem of supporting medical decision making based on evidence-based medicine. This is achieved by using artificial intelligence methods. This work was supported by a grant from the Ministry of Education and Science of the Russian Federation, a unique project identifier RFMEFI60819X0278.

Keywords: evidence-based medicine; intellectual systems; medical decision support systems; text mining.