STRATEGIC EFFICIENCY OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN HEALTHCARE MANAGEMENT

Authors

  • Isoqjonova Durdona Student of Tashkent State Medical University, Tashkent, Uzbekistan. Author
  • Annaxmatova Parizoda Student of Tashkent State Medical University, Tashkent, Uzbekistan. Author
  • Ulugbek Isroilov Assistant, Department of Biomedical Engineering, Informatics, and Biophysics, Tashkent State Medical University, Tashkent, Uzbekistan Author

Keywords:

Artificial Intelligence (AI), Healthcare Management, Machine Learning, Health Economics, Digital Transformation, Big Data, Predictive Analytics, Smart Hospital.

Abstract

This research paper examines the role and impact of Artificial Intelligence (AI) systems on the management and operational efficiency of modern healthcare institutions. The study analyzes the integration of AI algorithms in diagnostic accuracy, administrative cost optimization, and patient flow management. The primary objective is to provide a scientific basis for healthcare managers regarding the economic and social advantages of technological transformation. The findings suggest that AI-driven management models can drastically reduce hospital overheads while enhancing patient care quality.

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Published

2026-02-02

Issue

Vol. 2 No. 1 (2026)

Section

Articles

License

Creative Commons License

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

How to Cite

STRATEGIC EFFICIENCY OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN HEALTHCARE MANAGEMENT. (2026). Eureka Journal of Health Sciences & Medical Innovation, 2(1), 780-786. https://eurekaoa.com/index.php/5/article/view/325

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