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Methodologies for the formation of structures of information systems for storing and analyzing patient data

https://doi.org/10.37493/2307-910X.2024.1.2

Abstract

Effective collection, storage and analysis of patient data is crucial for improving the quality of medical care, optimizing treatment and conducting research. In this regard, the development of methodologies for the formation of information system structures that allow reliable storage and analysis of patient data has become an urgent research task. This article describes the existing methodologies on the basis of which information systems for storing and analyzing patient data are formed, which are an important tool for providing high-quality medical care, which in turn allows doctors and other medical professionals to get quick and convenient access to complete and up-to-date information about the patient's health, which is necessary for making informed medical decisions, solutions.

About the Authors

Z. A. Shogenova
Kabardino – Balkarian State University named after H.M. Berbekov
Russian Federation

Zalina A. Shogenova – Senior Lecturer of the Department of Computer Technologies and Information Security 

Nalchik

+79969163092



D. А. Krymshokalova
Kabardino – Balkarian State University named after H.M. Berbekov
Russian Federation

Dzhuletta A. Krymshokalova – Associate Professor of the Department of Computer Technology and Information Security

Nalchik

+79626524708



F. R. Ketova
Kabardino – Balkarian State University named after H.M. Berbekov
Russian Federation

Fardiana R. Ketova – Associate Professor of the Department of Computer Technology and Information Security

Nalchik

+79674215005



F. H. Dzamikhova
Kabardino – Balkarian State University named after H.M. Berbekov
Russian Federation

Fatima H. Dzamikhova – Senior Lecturer at the Department of Computer Technology and Information Security 

Nalchik

+79280789504



References

1. Talkhestani BA, Jazdi N, Schlegl W, Weyrich M. Consistency check for synchronizing the digital twin of production automation based on anchor points. In Proceedings of the 51st CIRP Conference on Production Systems, 2018;159- 164. https://doi.org/10.1016/j.procir.2018.03.166

2. Madni AM, Madni CS, Lucero SD. The use of digital twin technology in the development of model-based systems. Systems. 2019;7(1):7. https://doi.org/10.3390/systems7010007

3. Hu L, Nguyen N-T, Tao W, Leu MK, Liu XF, Shahriyar R, Sunny NAI. Modeling cloud-based digital twins for intelligent manufacturing using MT Connect. Procedia Manufacturing. 2018;26:1193-1203. https://doi.org/10.1016/j.promfg.2018.07.155

4. Modoni GE, Caldarola EG, Sacco M, Terkai W. Synchronization of physical and digital production: advantages and technical challenges. In Proceedings of the 12th CIRP Conference on Intelligent Computing in Mechanical Engineering. 2018;472-477. https://doi.org/10.1016/j.procir.2019.02.125

5. Krymshokalova DA, Shogenova ZA. Thakumashev KR. Formalization and validation of user requirements in the development of information systems. In Collection of scientific papers based on the materials of the international scientific and practical conference "Digital transformation of science and education. Nalchik; 2022;101-110.

6. Lipko YuYu, Shogenova ZA. On the issue of conceptual approaches to the formation and implementation of models of interfaces of information systems for supporting medical decision–making. Modern Science and Innovations. Stavropol – Pyatigorsk. 2023;2(42):33-40.

7. Ulemann TH-J, Steinhilper KLR, Steinhilper R. The digital twin: The implementation of a cyberphysical production system for industry 4.0. Procedia CIRP. 2017. Vol. 61. In Part of the special issue: The 24th CIRP Conference on Life Cycle Design. Edited by S Takata, Y Umeda, S Kondo. P. 335-340. https://doi.org/10.1016/j.procir.2016.11.152

8. Ulemann TH-J, Shok K, Lehmann S, Freiberger S, Steinhilper R. Digital twin: demonstrating the potential of realtime data collection in production systems. Procedia Manufacturing. 2017;9:113-120. https://doi.org/10.1016/j.promfg.2017.04.043

9. Boschert S, Rosen R. The digital double – the aspect of modeling. P. Hehenberger, D. Bradley (ed.). The future of mechatronics. Springer International Publishing. 2016;59-74. https://doi.org/10.1007/978-3-319-32156-1_5

10. Dong-Ki K et al. A study of resource management for a fault-tolerant and energy-efficient cloud data center. Yu. Zhang, L. Peng, S.H. Yun (ed.). In Cloud Computing. 6th International CloudComp Conference 2015, Daejeon, South Korea, October 28-29, 2015, Revised Selected Papers. In Lecture notes of the Institute of Computer Science, Social Informatics and Telecommunication Engineering. Vol. 167. Springer International Publishing House; 2016;22-29. https://doi.org/10.1007/978-3-319-38904-2_3

11. Chawla V, Sogani P. Cloud computing – the future. A. Mantri, S. Nandi, G. Kumar, S. Kumar (eds.). Highperformance architecture and grid computing. HPAGC 2011. Communications in Computer and Information Sciences. Vol. 169. Springer, Berlin, Heidelberg; 2011. P. 113-118. https://doi.org/10.1007/978-3-642-22577-2_15

12. Hughes TJ. The finite element method: linear static and dynamic analysis by the finite element method. Courier Corporation, North Chelmsford; 2012. 704 p.

13. Dhatt G, Lefrancois E, Touzo G. The finite element method. London, Wiley EAST; 2012. 624 p.

14. Bate KJ. The finite element method. Encyclopedia of computer Science and Engineering Wiley. London, Wiley Online Library; 2008. https://doi.org/10.1002/9780470050118.ecse159

15. Nguyen VP, Rabchuk T, Bordas S, Duflo M. Grid-free methods: an overview and aspects of computer implementation. Mathematics and computers in modeling. 2008;79(3):763-813. https://doi.org/10.1016/J.matcom.2008.01.003


Review

For citations:


Shogenova Z.A., Krymshokalova D.А., Ketova F.R., Dzamikhova F.H. Methodologies for the formation of structures of information systems for storing and analyzing patient data. Modern Science and Innovations. 2024;(1):25-31. (In Russ.) https://doi.org/10.37493/2307-910X.2024.1.2

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