CLINIC AUTOMATION SYSTEMS: GENERAL OVERVIEW AND TYPES
Keywords:
Healthcare, EHR Systems, Regulatory Requirements, Artificial Intelligence, RIS (Radiology Information System)Abstract
This article provides an overview of automated clinic systems and their main types. The importance of automation in healthcare lies in improving service quality, streamlining processes, and saving time. The article discusses key systems such as Electronic Medical Records (EMR), patient registration and queue management systems, Laboratory Information Management Systems (LIMS), pharmaceutical management systems, and financial management systems. Each of these systems plays a crucial role in optimizing clinic operations and enhancing patient care. The article highlights the primary benefits of automation for clinics, including reducing errors, ensuring data security, and increasing efficiency.
References
R.Zulunov, M.Sattarov. Sog'liqni saqlashni avtomatlashtirish: bemor tajribasini yaxshilash yo'li. Потомки Аль-Фаргани, 2024, 1(2), 189–195.
Р.Зулунов. Технологии robotic process automation в медицине. Потомки Аль-Фаргани, 2024, 1(4), 197-200.
Р.Зулунов, О.Мелибоев. Современные реалии умной медицины для студентов. Miasto Przyszłości, 2024, T-48, c. 1052-1055.
R Zulunov. M Mahmudova. Tibbiyot muassasalarida elektron navbat tizimi. Потомки Аль-Фаргани, 2023, 1(2), c. 53-57
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, 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.
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.
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, U.Akhundjanov, B.Soliyev, A.Kayumov, M.Asraev, Kh.Musayev. Building and predicting a neural network in PYTHON. E3S Web of Confer-ences, 508, 04005 (2024).
U.Akhundjanov, R.Zulunov, A. Kayumov, X.Goipova, Z.Ermatova, M.Sobirov. Handwritten signature preprocessing for off-line recognition systems. E3S Web of conferences 587, 03019 (2024), GreenEnergy 2024.
Additional Files
Published
How to Cite
License
Copyright (c) 2025 Ravshanbek Zulunov, Maxammadjon Sattarov

This work is licensed under a Creative Commons Attribution 4.0 International License.