ROBOTIC PROCESS AUTOMATION TECHNOLOGIES IN MEDICINE
Keywords:
Robotic Process Automation, healthcare automation, digital transformation, patient data processing, schedule management, healthcare process efficiencyAbstract
The article explores the application of Robotic Process Automation (RPA) technologies in healthcare to automate routine and repetitive tasks. The key benefits of RPA are presented, including reducing administrative workload, minimizing errors, saving resources, and improving integration between various systems. Special attention is given to examples of use: automation of patient data processing, insurance operations, and schedule management for healthcare professionals. The implementation of RPA enables medical institutions to enhance productivity, improve patient service quality, and reduce costs. The article emphasizes the importance of integrating RPA as one of the key tools in the digital transformation of healthcare.
References
R.Zulunov, M.Sattarov. Sog'liqni saqlashni avtomatlashtirish: bemor tajribasini yaxshilash yo'li. Потомки Аль-Фаргани, 2024, 1(2), 189–195.
R.Zulunov, U.Akhundjanov, B.Soliyev, A.Kayumov, M.Asraev, Kh.Musayev. Building and predicting a neural network in PYTHON. E3S Web of Conferences, 508, 04005 (2024).
Р.Зулунов, Д.Ирматова. Использование технологий искусственного интеллекта. Журнал интегрированного образования и исследований. 2022, 1/6, с. 53-56.
Р. Зулунов, А.Горовик. Методика преподавания визуального программирования для детей. Цифровой регион: опыт, компетенции, проекты: сборник статей Международной научнопрактической конференции. – Брянск: БрГИТУ, т.1, с. 193-197.
Р. Зулунов, А.Горовик. Внедрение технологий искусственного интеллекта, нравственные и правовые нормы. Conference on Digital Innovation: "Modern Problems and Solutions", 2023.
R.Zulunov. Pythonda neyron tarmoqni qurish va bashorat qilish. Al-Farg'oniy avlodlari, 2023, 1/4, c. 22-26.
R Zulunov, O Otaqulov. Ограничения обучения языку программирования JAVA в образовательных системах. Потомки Аль-Фаргани, 2023, т.1/2, с. 37-40
R Zulunov. Staff Incentives Based on Kpi Principles. Conference on Digital Innovation:" Modern Problems and Solutions", 2023/10/9
R.Zulunov, A.Kayumov. Идентификация и сортировка текстиля для автоматизированной обработки с помощью ближней инфракрасной спектроскопии. Universum: технические науки, 3(120), март 2024, с. 38-42
R.Zulunov, Z.Samatova. Bulutli texnologiyalarda kiberxavfsizlik taminlashda CASB yechimlari.Потомки Аль-Фаргани, 2024, 1(1), с. 93–98.
VV Byts', RM Zulunov. Specification of matrix algebra problems by reduction. Journal of Mathematical Sciences. T. 71, 2719–2726 (1994).
Hnatiienko, H., Hnatiienko, V., Zulunov R., Babenko, T., Myrutenko, L. Method for Determining the Level of Criticality Elements when Ensuring the Functional Stability of the System based on Role Analysis of Elements. CEUR Workshop Proceedings, 2024, 3654, p. 301–311
R.Zulunov, B.Soliyev, A.Kayumov, M.Asraev, Kh.Musayev, D.Abdurasulova. Detecting mobile objects with ai using edge detection and background subtraction techniques. E3S Web of Conferences, 508, 03004 (2024).
R.Zulunov, Z.Samatova. Kiber xavfsizlik muammolari va uni ta'minlash usullari. Потомки Аль-Фаргани, 2024, 1(2), 322–326.
R.Zulunov, B.Soliev. Z.Ermatova. Enhancing Clarity with Techniques for Recognizing Blurred Objects in Low Quality Images Using Python. Потомки Аль-Фаргани, 2024, 1(2), 336–340.
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