EFFICIENCY OF ELECTRONIC HEALTH RECORD (EHR) SYSTEMS

Authors

  • Karimova Mardona Iskandar kizi Department of Technological Machines and Information Systems Asia International University

DOI:

https://doi.org/10.55640/

Keywords:

Electronic health; Electronic Health Record (EHR); Telemedicine; Mobile health (m-Health); Medical information systems; Digital medicine; Data; Artificial Intelligence; Medical diagnostics; Medical database; Health digitalization.

Abstract

Electronic health (eHealth) systems play a vital role in modern medicine, enabling the digitization of patient data, improving service quality, and optimizing treatment processes. This article analyzes the integration of Big Data and Artificial Intelligence (AI) technologies into eHealth systems. Big Data plays a crucial role in analyzing patient medical records, genetic data, and real-time monitoring results, while AI is utilized in diagnostics, personalized treatment plans, and the automation of administrative processes. The article examines the advantages, limitations, and future possibilities of these technologies. In the future, directions such as genomics, pandemic preparedness, and global integration will further develop the healthcare sector. This research is aimed at increasing the efficiency of eHealth systems and contributing to human health.

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References

1.World Health Organization. E-Health Strategy Framework. Geneva, 2023.

2.Yasnoff W. A., et al. The Health Information Infrastructure. Springer, 2020.

3.Hersh W. Health Informatics: Practical Guide. Informatics Education, 2022.

4.Shortliffe E. H., Cimino J. Biomedical Informatics. Springer, 2021.

5.Turdiyev U., “Development of telemedicine technologies,” Medical Bulletin, 2022.

6.Uzbekistan Ministry of Health, “Concept of Electronic Healthcare,” 2021.

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Published

2026-04-08

How to Cite

EFFICIENCY OF ELECTRONIC HEALTH RECORD (EHR) SYSTEMS. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(4), 526-527. https://doi.org/10.55640/

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