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Information interaction model within the system for collecting medical statistics

https://doi.org/10.25881/18110193_2023_1_62

Abstract

Aim. To optimize the process of receiving and processing federal statistical observation forms.

Materials and methods. The MEDSTAT-WEB software, previously used by the Russian Research Institute of Health, was used as the basis. Innovative elements of third-party software were integrated into the process of providing primary statistical data.

Results. A functional has been developed that provides prompt online interaction between specialists of the Subjects of the Russian Federation and specialized experts of Russian Research Institute of Health. To confirm the legal significance of the provided information the reinforced qualified electronic signature was introduced. The video conferencing module was implemented by means of software from the Russian company TrueConf. The reporting status monitoring module was based on the Telegram messenger. The secure access module for remote form-taking experts of specialized national medical research centers was implemented on the basis of VPN system introduction into the closed segment of the Russian Research Institute of Health local network. A certification centre module has been integrated to perform information security tasks and to provide mechanisms for protecting data from unauthorized access and illegal data modification.

Conclusions. The re-engineering of the Federal Tax Service data transmission service contributes to optimizing the process of receiving and processing of electronic documents, increases the reliability of data and significantly increases the speed of information  acquisition.

About the Authors

A. V. Polikarpov
Russian Research Institute of Health; I.M. Sechenov First Moscow State Medical University
Russian Federation

PhD

Moscow



N. A. Golubev
Russian Research Institute of Health
Russian Federation

PhD

Moscow



I. V. Ryabkov
Russian Research Institute of Health; I.M. Sechenov First Moscow State Medical University
Russian Federation

PhD

Moscow



A. A. Lisnenko
Russian Research Institute of Health
Russian Federation

Moscow



D. G. Plaksitsky
Russian Research Institute of Health
Russian Federation

Moscow



M. V. Sankova
I.M. Sechenov First Moscow State Medical University
Russian Federation

Moscow



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Review

For citations:


Polikarpov A.V., Golubev N.A., Ryabkov I.V., Lisnenko A.A., Plaksitsky D.G., Sankova M.V. Information interaction model within the system for collecting medical statistics. Medical Doctor and Information Technologies. 2023;(1):62-77. (In Russ.) https://doi.org/10.25881/18110193_2023_1_62

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ISSN 1811-0193 (Print)
ISSN 2413-5208 (Online)