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

dc.contributor.authorIzbasarov Islomjon
dc.contributor.authorArzikulov Fazliddin
dc.date.accessioned2025-12-28T10:43:33Z
dc.date.issued2025-05-13
dc.description.abstractThe 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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dc.identifier.urihttps://usajournals.org/index.php/1/article/view/64
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/3941
dc.language.isoeng
dc.publisherModern American Journals
dc.relationhttps://usajournals.org/index.php/1/article/view/64/92
dc.rightshttps://creativecommons.org/licenses/by/4.0
dc.sourceModern American Journal of Medical and Health Sciences; Vol. 1 No. 2 (2025); 19-24
dc.source3067-803X
dc.subjectMobile healthcare, artificial intelligence, MED-UZ AI, health literacy, data security, Uzbekistan healthcare, telemedicine, digital health.
dc.titleEFFICIENCY OF MOBILE APPS IN HEALTHCARE: A CASE STUDY OF MED-UZ AI
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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