https://supportscience.uz/index.php/ojmp/issue/feed 2026-10-07T12:56:58+00:00 Supportscience LLC editor@supportscience.uz Open Journal Systems <p><a href="http://sjifactor.com/passport.php?id=22039"><strong>SJIF 2021-5.897, 2022-6.091</strong></a></p> <p><strong>“Oriental Journal of Medicine and Pharmacology</strong>” is a journal specializing in medical and pharmacological sciences, providing comprehensive coverage of scientific and practical innovations in the fields of physiology, anatomy, histology, cytology, biochemistry, pathological anatomy, physiological anatomy, general and clinical pharmacology, microbiology, widely and effectively use the possibilities of the journal. One of the most important tasks in the field of medicine is the publication of relevant, new, scientifically effective and verified information<strong>.</strong></p> <p>This scientific journal is published in the electronic version, comes out 6 times a year in Uzbek, English and Russian.</p> <p>The journal publishes the best scientific and journalistic works of Uzbek authors, as well as representatives of the world economy and agriculture.</p> https://supportscience.uz/index.php/ojmp/article/view/4836 2026-10-07T12:54:22+00:00 M.B. Urinov admin@supportscience.uz T. Akhtamov admin@supportscience.uz

<p>The article presents the results of a prospective study aimed at evaluating the effectiveness of implementing algorithms for the pre-hospital diagnosis, routing, and treatment of patients with acute cerebrovascular accidents. The study included 122 patients, who were divided into a control group (n=60) and a main group (n=62). It was established that the use of the algorithms was associated with a statistically significant reduction in the time intervals for medical care, including the “symptom-to-call” interval (from 94.2±28.5 to 72.6±24.1 min), transportation time, and door-to-needle time (p&lt;0.05–0.001). A significant improvement in the accuracy of stroke diagnosis was observed, from 76.7% to 91.9%, along with a reduction in the frequency of diagnostic errors from 23.3% to 8.1% (p&lt;0.05). The findings demonstrate the high effectiveness of implementing pre-hospital care algorithms and support the feasibility of their widespread application in emergency medical services.</p>

2026-03-07T00:00:00+00:00 Copyright (c) 2026 M.B. Urinov, T. Akhtamov