INTERINTEGRATION OF BIG DATA AND ARTIFICIAL INTELLIGENCE IN ELECTRONIC HEALTH (EHEALTH) SYSTEMS.

Authors

  • A.Toxirov Kokand Universiteti Andijon filiali

Keywords:

eHealth, katta ma’lumotlar, sun’iy intellekt, tibbiy ma’lumotlar, elektron tibbiy yozuvlar, teletibbiyot, diagnostika, shaxsiy tibbiyot, ma’lumotlar maxfiyligi, mashinaviy o‘rganish, genomika, pandemiya bashorati, resurslarni boshqarish, real vaqtda monitoring, axloqiy masalalar.

Abstract

Electronic health (eHealth) systems play an important role in modern medicine, digitizing patient data, improving service quality, and optimizing treatment processes. This article analyzes the integration of big data (Big Data) and artificial intelligence (AI) technologies into eHealth systems. Big data plays a key role in analyzing patient medical records, genetic data, and real-time monitoring results, while AI is used to automate diagnostics, personalized treatment plans, and administrative processes. Through integration, the possibilities for disease prevention, risk group identification, and efficient resource management are expanding. At the same time, there are challenges related to data privacy, quality, and infrastructure.
The article examines the advantages, limitations, and future opportunities of these technologies. In the future, trends such as genomics, pandemic preparedness, and global integration will further develop the healthcare sector. This research aims to improve the efficiency of eHealth systems and contribute to human health.

References

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Published

2025-06-16

Issue

Vol. 2 No. 4.5 (2025): International scientific and practical conference "MODERN RESEARCH AND SCIENTIFIC NEWS IN PHARMACY, BIOTECHNOLOGY AND BIOMEDICINE" Andijan. April 23-24, 2025

Section

Articles

License

Copyright (c) 2025 A.Toxirov

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

INTERINTEGRATION OF BIG DATA AND ARTIFICIAL INTELLIGENCE IN ELECTRONIC HEALTH (EHEALTH) SYSTEMS. (2025). Universal International Scientific Journal, 2(4.5), 1065-1067. https://universaljurnal.uz/index.php/jurnal/article/view/2689