
So‘nggi yillarda yurak-qon tomir kasalliklari (YQTK) dunyo miqyosida ham, O‘zbekiston Respublikasida ham o‘lim va nogironlikning asosiy sabablaridan biri bo‘lib qolmoqda. Aholining qarishi, urbanizatsiya, kamharakat turmush tarzi, noto‘g‘ri ovqatlanish va stress omillarining kuchayishi ushbu kasalliklar tarqalishining ortishiga olib kelmoqda. Shu bilan birga, zamonaviy axborot-kommunikatsiya texnologiyalarining jadal rivojlanishi sog‘liqni saqlash tizimida yangi yondashuv — telemeditsinani keng joriy etish imkonini bermoqda. Telemeditsina yurak-qon tomir kasalliklarini erta aniqlash, masofadan monitoring qilish, davolash jarayonini optimallashtirish hamda tibbiy xizmatlarning hududiy tengsizligini kamaytirishda muhim ahamiyat kasb etadi. Mazkur maqolada yurak-qon tomir kasalliklarini tashxislash, davolash va reabilitatsiya jarayonlarida telemeditsina texnologiyalaridan foydalanish imkoniyatlari tahlil qilinadi. Tadqiqot davomida telekardiologiya, masofaviy elektrokardiografiya, mobil sog‘liqni saqlash (mHealth) ilovalari, sun’iy intellekt asosidagi monitoring tizimlarining afzalliklari va cheklovlari o‘rganildi. Shuningdek, O‘zbekiston sog‘liqni saqlash tizimida telemeditsinani joriy etish holati va istiqbollari ilmiy asosda yoritildi. Tadqiqot natijalari telemeditsinaning yurak-qon tomir kasalliklari bilan og‘rigan bemorlar hayot sifatini yaxshilash, tibbiy xizmatlar samaradorligini oshirish hamda sog‘liqni saqlash xarajatlarini kamaytirishdagi rolini asoslab beradi.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
