EFFICIENCY OF MOBILE APPS IN HEALTHCARE: A CASE STUDY OF MED-UZ AI

Authors

  • Izbasarov Islomjon Student of Group 119, Faculty of Treatment No. 2, Tashkent State Medical University, Tashkent, Uzbekistan Author
  • Arzikulov Fazliddin Assistant, Department of the "Biomedical Engineering, Informatics and Biophysics", Tashkent State Medical University. Tashkent, Uzbekistan Author

Keywords:

Mobile healthcare, artificial intelligence, MED-UZ AI, health literacy, data security, Uzbekistan healthcare, telemedicine, digital health.

Abstract

The rapid advancement of mobile technology has transformed healthcare delivery, particularly in resource-constrained regions. This study explores the efficiency of mobile applications in healthcare, focusing on "MED-UZ AI," a mobile application developed to address healthcare challenges in Uzbekistan. MED-UZ AI leverages artificial intelligence (AI) to provide medical consultations, enhance health literacy, and ensure data security. By analyzing its functionality, target audience, and implementation strategy, this paper evaluates the app’s potential to improve healthcare accessibility, early diagnosis, and service quality. The findings highlight the role of mobile apps in bridging healthcare gaps, with implications for global health systems.

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Published

2025-05-13

Issue

Vol. 1 No. 2 (2025)

Section

Articles

License

Creative Commons License

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

How to Cite

EFFICIENCY OF MOBILE APPS IN HEALTHCARE: A CASE STUDY OF MED-UZ AI. (2025). Modern American Journal of Medical and Health Sciences, 1(2), 19-24. https://usajournals.org/index.php/1/article/view/64