Особливості застосування телемедичних технологій на основі штучного інтелекту в медицині катастроф

Recent years have seen a rapid and exponential growth in the amount of digital health-related data generated by citizens themselves as well as healthcare providers. As a result, due to the spread of medical information technologies, there has been a movement towards universal electronic medical reco...

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Datum:2024
Hauptverfasser: Пилипець, Ю.О., Павлов, С.В., Ярославський, Я.І., Костюк, С.В., Урсан, М.І.
Format: Artikel
Sprache:Ukrainian
Veröffentlicht: Vinnytsia National Technical University 2024
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Online Zugang:https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/740
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Назва журналу:Optoelectronic Information-Power Technologies

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Optoelectronic Information-Power Technologies
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Zusammenfassung:Recent years have seen a rapid and exponential growth in the amount of digital health-related data generated by citizens themselves as well as healthcare providers. As a result, due to the spread of medical information technologies, there has been a movement towards universal electronic medical record systems and automated accumulation of patient information. The availability of large data sets, combined with the rapid development of computational data science (including AI-based machine learning techniques), offer promising opportunities for new insights and actionable insights that can significantly improve health outcomes. This more complex, data-rich environment, in turn, enables better clinical decision-making through the support of automated means, encouraging the movement towards intelligent care and diagnostics. Telemedicine technologies are increasingly spreading in health care, achieving various goals, namely remote health monitoring and self-monitoring of patients, which can contribute to the rapid adoption of correct decisions by medical personnel during extraordinary situations and conditions, including the occurrence of natural disasters and man-made disasters.