ARTIFICIAL INTELLIGENCE–BASED MANAGEMENT OF PATIENT FLOW AND REDUCTION OF INFECTIOUS DISEASE RISKS

Authors

  • Isroilov Ulugbek Begali ogli Assistant, Department of Biomedical Engineering, Informatics and Biophysics, Tashkent State Medical University, Tashkent, Uzbekistan Author
  • Mamadaliyeva Mohlaroyim First-Year Student, Group 114-B, Faculty of General Medicine No. 1, Tashkent State Medical University, Tashkent, Uzbekistan Author

Keywords:

Artificial Intelligence (AI), Patient Flow Management, Infectious Diseases, Virtual Queuing, Triage System, COVID-19, Queue Optimization, Infection Control and Safety.

Abstract

This article highlights the significance of Artificial Intelligence (AI) technologies in managing patient flow and mitigating the risk of infectious diseases within healthcare institutions. AI algorithms enhance the quality of medical services by predicting patient arrival flow, optimizing queues, automating real-time triage processes, and balancing departmental workloads. Furthermore, the article examines the possibilities of using AI for early detection of infectious diseases, isolating high-risk patients, contact tracing, modeling the probability of infection spread, and automating disinfection processes. The advantages of AI, its technical foundations, and the limitations encountered during its implementation are analyzed. Research findings indicate that the effective application of artificial intelligence in medical facilities serves to regulate patient flow and significantly reduce the transmission of infections.

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Published

2026-01-15

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

ARTIFICIAL INTELLIGENCE–BASED MANAGEMENT OF PATIENT FLOW AND REDUCTION OF INFECTIOUS DISEASE RISKS. (2026). Modern American Journal of Medical and Health Sciences, 2(1), 96-102. https://usajournals.org/index.php/1/article/view/1818